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Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms

Marte A. Ramírez-Ortegón, Ernesto Tapia, Lilia L. Ramírez-Ramírez, Raúl Rojas, Erik Cuevas
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jm6w2xclfzguxnhmnmq5omebpi" style="color: black;">Pattern Recognition</a> </i> &nbsp;
This paper introduces a novel binarization method based on the concept of transition pixel, a generalization of edge pixels.  ...  We show how to adjust the threshold of several binary threshold methods which compute gray-intensity thresholds, using the gray-intensity mean and variance of the pixels in the transition set.  ...  Acknowledgments We thank the anonymous referees for helpful and relevant comments, and Edgar Dué ñ ez for useful discussions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2009.11.006">doi:10.1016/j.patcog.2009.11.006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v2iufmmjsrbfzcjtqztb3eb4f4">fatcat:v2iufmmjsrbfzcjtqztb3eb4f4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808234700/http://www.cin.ufpe.br/~cabm/visao/artigos/Transition%20pixel%20A%20concept%20for%20binarization%20based%20on%20edge%20detection%20and%20gray-intensity%20histograms.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/8e/1e8e7e992cc1a930623d7aac1c46fc23df2cae1f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2009.11.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Transition thresholds and transition operators for binarization and edge detection

Marte A. Ramírez-Ortegón, Ernesto Tapia, Raúl Rojas, Erik Cuevas
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jm6w2xclfzguxnhmnmq5omebpi" style="color: black;">Pattern Recognition</a> </i> &nbsp;
The transition method for image binarization is based on the concept of t-transition pixels, a generalization of edge pixels, and t-transition sets.  ...  Afterward, we propose the simple edge transition operator for detecting edges.  ...  Acknowledgments We thank the anonymous referees for helpful and relevant comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2010.04.028">doi:10.1016/j.patcog.2010.04.028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2uis4o4kbd2vprh3zqpmapici">fatcat:k2uis4o4kbd2vprh3zqpmapici</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811053904/http://www.cin.ufpe.br/~cabm/visao/artigos/Transition%20thresholds%20and%20transition%20operators%20for%20binarization%20and%20edge%20detection.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/15/41156a3bb441db00d25e935f672b4a11d104851d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2010.04.028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Transition Thresholds for Binarization of Historical Documents

Marte A. Ramirez-Ortegon, Raul Rojas
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jsl2pgelqja2piczru3a6nqkg4" style="color: black;">2010 20th International Conference on Pattern Recognition</a> </i> &nbsp;
This paper extends the transition method for binarization based on transition pixels, a generalization of edge pixels.  ...  We experimentally tested four variants of the transition method combining the density and cumulative distribution functions of transition values, with gray-intensity thresholds based on the normal and  ...  The transition method, proposed by Ramírez-Ortegón et al. [1] , is a composite binarization algorithm based on the transition pixel concept, a generalization of edge pixels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2010.578">doi:10.1109/icpr.2010.578</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpr/Ramirez-OrtegonR10a.html">dblp:conf/icpr/Ramirez-OrtegonR10a</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/en3bbv6aejb6nemifcybe2lbqa">fatcat:en3bbv6aejb6nemifcybe2lbqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709112744/https://www.cimat.mx/~amor/Publications/ICPR2010/ICPR2010A.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4d/4c/4d4cb955c9fd8565a7ffc6c57f46e56e97064a0a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2010.578"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An analysis of the transition proportion for binarization in handwritten historical documents

Marte A. Ramírez-Ortegón, Lilia L. Ramírez-Ramírez, Volker Märgner, Ines Ben Messaoud, Erik Cuevas, Raúl Rojas
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jm6w2xclfzguxnhmnmq5omebpi" style="color: black;">Pattern Recognition</a> </i> &nbsp;
In this paper, we will present a mathematical analysis of the transition proportion for the normal threshold (NorT) based on the transition method.  ...  Furthermore, our analysis extends to thresholding methods that rely on Bayes rule, and it also gives the mathematical bases for potential applications of the transition proportion as a feature to estimate  ...  (b) Binary groundtruth and its histograms of both fore and background gray intensities. (c) Positive and negative transition sets and their histograms of gray intensities.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2014.02.003">doi:10.1016/j.patcog.2014.02.003</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2cz3cqq5h5gxdhxla55wzz3b5q">fatcat:2cz3cqq5h5gxdhxla55wzz3b5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809233409/http://www.mi.fu-berlin.de/inf/groups/ag-ki/publications/transition-proportion/transition-proportion.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/bc/c4bc0bb61fe1c637e8bde3294d1c097b8d6856d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2014.02.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Capture Patterns of Live Movement using IGNT Edge Detection

Dr. N. Anandakrishnan
<span title="2018-01-31">2018</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
This paper illustrates a clear implementation of the concepts and methods used in the IGNT technique applied to the Kinect sensor.  ...  The prominent features of the camera in the Kinect sensor at present is not used while the Edge Detection process. That leads to more intensified Edge Detection in 2D/3D images and videos.  ...  Based on the quality of Thresholding, Binarization in pixels of the image is performed. G.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2018.1475">doi:10.22214/ijraset.2018.1475</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h2lrtndtynbrlobk4r6m4rdd3m">fatcat:h2lrtndtynbrlobk4r6m4rdd3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210141314/http://ijraset.com/fileserve.php?FID=13408" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/9a/279a92e18849f108cf0e9e096a0b4f301117a125.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2018.1475"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A model for the gray-intensity distribution of historical handwritten documents and its application for binarization

Marte A. Ramírez-Ortegón, Lilia L. Ramírez-Ramírez, Ines Ben Messaoud, Volker Märgner, Erik Cuevas, Raúl Rojas
<span title="2013-08-23">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qlbwpi6y5ratlbyijgcz2zwany" style="color: black;">International Journal on Document Analysis and Recognition</a> </i> &nbsp;
We propose a local pixel model to explain the observed asymmetrical gray-intensity histograms of the fore-Electronic supplementary material The online version of this article (and background.  ...  Our pixel model states that, locally, the gray-intensity histogram is the mixture of gray-intensity distributions of three pixel classes.  ...  We are so grateful to the editor and all the reviewers for their constructive and meticulous comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10032-013-0212-5">doi:10.1007/s10032-013-0212-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gvphy4nvgbcknmpaipmlzckxt4">fatcat:gvphy4nvgbcknmpaipmlzckxt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170813014144/http://www.mi.fu-berlin.de/inf/groups/ag-ki/publications/gray-intensity_distribution/gray-intensity-distribution.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/dd/26ddcfa6d1dbe8f37a420142face8420c5916997.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10032-013-0212-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Contrast Measure based Approach to Binaries Handwritten Documents through MRF

Bharti Bansinge, R.K. Pateriya
<span title="2015-08-18">2015</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
The document image binarization focuses on extracting the text and background of the image. In doing this the edge detection approach also played the crucial role.  ...  This framework suggest to use Markov random function to evaluate contrast of pixel and try to overcome the problem of appearance of a single document that can vary greatly depending on factors such as  ...  Second detecting the contours of the race using Otsu's method on the gradient information, then local threshold by averaging the detected pixels in a local neighborhood window edges, and finally post-processing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2015905752">doi:10.5120/ijca2015905752</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lx5ewbk5trdplh3xlocwonhnjq">fatcat:lx5ewbk5trdplh3xlocwonhnjq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603220101/https://www.ijcaonline.org/research/volume123/number15/bansinge-2015-ijca-905752.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/1b/ea1b213b4833f0f5d780ffb966222d9405e89a1b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2015905752"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Automatic Number Plate Extraction: A Review

Harkamaljeet Kaur, Dr. Lakhwinder Kaur
<span title="2016-02-26">2016</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
Although there are numerous of number plate extracting systems available today based on different methodologies but still it is a challenging task to make an intelligent system that can be successfully  ...  In this paper, different existing number plate extraction techniques are surveyed and general steps for number plate extraction are introduced.  ...  [7] presented application software designed for recognition based on extraction using edge detection algorithms . For segmentation they used smearing, filtering and some other algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv5is020438">doi:10.17577/ijertv5is020438</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uasczfvbrzborio4zreuvnk5iq">fatcat:uasczfvbrzborio4zreuvnk5iq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323115150/https://www.ijert.org/research/automatic-number-plate-extraction-a-review-IJERTV5IS020438.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/90/9390c678143ce0e81696b5f3f203d4f71dc87a25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv5is020438"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Entropy-Based Automatic Segmentation of Bones in Digital X-ray Images [chapter]

Oishila Bandyopadhyay, Bhabatosh Chanda, Bhargab B. Bhattacharya
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The presence of noise and spurious edges further complicates the segmentation.  ...  Experiments on several X-ray images reveal encouraging results as evident from a segmentation entropy quantitative assessment (SEQA) metric [Hao, et al. 2009 ].  ...  A. R. Sikdar and Sudarshan Polyclinic, Kolkata. We thankfully acknowledge their support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-21786-9_22">doi:10.1007/978-3-642-21786-9_22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2y4zzp6xifcnnoaupxwcwcmdhm">fatcat:2y4zzp6xifcnnoaupxwcwcmdhm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180725052202/https://link.springer.com/content/pdf/10.1007%2F978-3-642-21786-9_22.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/18/2c/182c02315cdd889249c98bc6244e4c90b887ad6f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-21786-9_22"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Traffic signal light detection and recognition based on canny operator

Guo Shuqing, Liu Yuming
<span title="2021-08-06">2021</span> <i title="JVE International Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/un2zuvuevnfr3ephhuf3i6j4iu" style="color: black;">Journal of Measurements in Engineering</a> </i> &nbsp;
In this paper, five classical edge detection operators are compared, and then a traffic signal light detection and recognition scheme that can be used for intelligent connected vehicles is implemented.  ...  ratio, the Canny edge detection operator is selected for image edge detection, and the target recognition area is obtained.  ...  As can be seen from Fig. 8 , the gray value of the binarization image has no intermediate transition image, and its advantage for the identification of traffic signal lights is that it takes up less space  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21595/jme.2021.22024">doi:10.21595/jme.2021.22024</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xc6cmvlkbnc5vioaigsvuno6vm">fatcat:xc6cmvlkbnc5vioaigsvuno6vm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210810024219/https://www.jvejournals.com/article/22024/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f8/79/f8792da67b97f734fe52123732b28433d45f52fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21595/jme.2021.22024"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Rock Fracture Image Segmentation Algorithms [chapter]

Weixing Wang
<span title="2011-04-19">2011</span> <i title="InTech"> Image Segmentation </i> &nbsp;
Lemy and Hadjigeorgiou (2003) developed a auto-tracing method for rock fractures based on edge detection and neural network.  ...  In the first category, the approach is to partition an image based on abrupt changes in gray level. An edge, in the image analysis literature, is a jump in intensity.  ...  The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/15970">doi:10.5772/15970</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tomap6bynfb55pceoitd5mqyw4">fatcat:tomap6bynfb55pceoitd5mqyw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504070547/https://cdn.intechopen.com/pdfs/15393.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/6e/256eb8a84a5e4d0d1f5b3b98eeb650bf032bffe0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/15970"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Utilization of Template Matching Method for License Plate Recognition: A Case Study in Malaysia [chapter]

Norazira A. Jalil, A. S. H. Basari, Sazilah Salam, Nuzulha Khilwani Ibrahim, Mohd Adili Norasikin
<span title="2014-11-02">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/buexlaapefetfatuvtspxuwmve" style="color: black;">Lecture Notes in Electrical Engineering</a> </i> &nbsp;
The image of the vehicle license plate is captured and processed to produce a textual output for further processing.  ...  An algorithm is adapted into the solution for parking management system. The solution then is implemented as proof of concept to the algorithm.  ...  We also would like to thank all friends and colleagues for their helpful comments and courage.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-07674-4_100">doi:10.1007/978-3-319-07674-4_100</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ks5b3gs62vccrgx2syug6r55e4">fatcat:ks5b3gs62vccrgx2syug6r55e4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160825225708/http://idosi.org/mejsr/mejsr14(3)13/18.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bb/e1/bbe126ced002f75e86715b221856573dfb720bae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-07674-4_100"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Delineation of Tree Patches in a Mangrove-Marsh Transition Zone by Watershed Segmentation of Aerial Photographs

Himadri Biswas, Keqi Zhang, Michael S. Ross, Daniel Gann
<span title="2020-06-29">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The method utilizes marker-based watershed segmentation, where markers are detected using a vegetation index and Otsu's automatic thresholding.  ...  Fourteen commonly used vegetation indices were tested, and shadows were removed from the segmented images to determine their effect on the accuracy of tree detection, cover estimation, and patch delineation  ...  Gray index images were then binarized by Otsu's automatic thresholding method and used for delineation of markers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12132086">doi:10.3390/rs12132086</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/usdibturmzhhbmzslpacazypo4">fatcat:usdibturmzhhbmzslpacazypo4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200701195707/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-02086/article_deploy/remotesensing-12-02086.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/c4/1cc490fa74aa0bd6399804899d652ee0ee085485.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12132086"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Survey on Segmentation Techniques for Image Processing

Wala'a Jasim, Rana Mohammed
<span title="2021-08-16">2021</span> <i title="University of Basrah - College of Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5k34jyfpnvbs3gmooglcvddlxa" style="color: black;">Iraqi Journal for Electrical And Electronic Engineering</a> </i> &nbsp;
The approaches of image segmentation are splitting the images into a few parts on the basis of image's features including texture, color, pixel intensity value and so on.  ...  Second, edge-based segmentation techniques such as gray-histogram technique, gradient based approach (laplacian of gaussian, differential coefficient approach, canny approach, prewitt approach, Roberts  ...  Segmenting the histogram of the image into group G1 of intensities < T and a group G2 of intensities ≥ T and computing the mean of intensity values μ1 as well as μ2 of pixels P(I) in the 2 groups in the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37917/ijeee.17.2.10">doi:10.37917/ijeee.17.2.10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tzutkyuklndjbnuvhsq7zlstj4">fatcat:tzutkyuklndjbnuvhsq7zlstj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210818042319/http://ijeee.edu.iq/Papers/Vol17-Issue2/1570736047.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/2c/b02cf2b286a9e1723bce5ebbdae10c07d21b6deb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37917/ijeee.17.2.10"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Automatic Moving Vehicle Detection and Number Plate Recognition System

Shaharniya OP
<span title="2020-07-31">2020</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
So here a method of vehicle tracking and motion detection based on background subtraction and the number plate detection is developing.  ...  This paper mainly introduces an Automatic Number Plate Recognition System (ANPR) using Morphological operations, Histogram manipulation and Edge detection Techniques for plate localization and characters  ...  Given the binarized image we perform vertical edge detection with mask A and horizontal edge detection with mask B.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2020.30603">doi:10.22214/ijraset.2020.30603</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdxvqdjqcbepzkarqzai72fgnm">fatcat:qdxvqdjqcbepzkarqzai72fgnm</a> </span>
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