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Combining sorted random features for texture classification

Li Liu, Paul Fieguth, Gangyao Kuang
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/anlh4tvwprcrtoxv5d4h6a7rye" style="color: black;">2011 18th IEEE International Conference on Image Processing</a> </i> &nbsp;
The proposed system is composed of three components: (i) highly discriminative and robust sorted random projections (SRP) features; (ii) a global Bag-of-Words (BoW) model; and (iii) the use of multiple  ...  We have tested our texture classification system on three popular and challenging texture databases and find that the SVMs combining of SRP features produces outstanding classification results, outperforming  ...  D C D KT D UIUC SRP Radial-Diff √ √ √ SRP Circular √ √ √ SRP Angular-Diff √ √ Fig. 1 . 1 Three sorting schemes on a local image patch of size 7 × 7: sorting pixels (a) or sorting pixel differences (b,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2011.6116686">doi:10.1109/icip.2011.6116686</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icip/LiuFK11.html">dblp:conf/icip/LiuFK11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h6fangs3mbez7bgnsgn3z5553i">fatcat:h6fangs3mbez7bgnsgn3z5553i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809142127/http://liliu.info/files/ICIP2011.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/eb/98/eb98f910b3795c5cf83a931841c599bf7a15d32a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2011.6116686"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Automatic Sorting of Dwarf Minke Whale Underwater Images

Dmitry A. Konovalov, Natalie Swinhoe, Dina B. Efremova, R. Alastair Birtles, Martha Kusetic, Suzanne Hillcoat, Matthew I. Curnock, Genevieve Williams, Marcus Sheaves
<span title="2020-04-09">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmr4kpn2yreovpdxpdiqtjcrnu" style="color: black;">Information</a> </i> &nbsp;
We modified known classification CNNs to localise whales in video frames and digital still images.  ...  The final operation-version CNN-pipeline processed all videos (with the interval of 10 frames) in approximately four days (running on two GPUs) delivering 1.95 million sorted images.  ...  The adopted per-image classification approach worked identically regardless if a given image was originally a video frame or a digital photograph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info11040200">doi:10.3390/info11040200</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3v22y6jcyze2daa46ch7durp5m">fatcat:3v22y6jcyze2daa46ch7durp5m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200410133050/https://res.mdpi.com/d_attachment/information/information-11-00200/article_deploy/information-11-00200.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/93/34/9334a1bccf4c853c761f405b6ec83eae7a338168.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info11040200"> <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>

Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach [article]

Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib
<span title="2020-02-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a method for disease localization in the context of weakly supervised learning, where only image-level labels are available during training.  ...  annotations for training interpretable classification and segmentation models.  ...  Figure 1 : 1 Description of the BASELINE approach for WSI classification via aggregation of tile-level features into global slide descriptors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.02212v2">arXiv:1802.02212v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rf6wwdx67bcfdjxcmrfafbhs3u">fatcat:rf6wwdx67bcfdjxcmrfafbhs3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321081337/https://arxiv.org/pdf/1802.02212v2.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.02212v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Automated sorting of consumer image collections using face and peripheral region image classifiers

P. Corcoran, G. Costache
<span title="">2005</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lfjucyeexrd75hshl2cngz7doq" style="color: black;">IEEE transactions on consumer electronics</a> </i> &nbsp;
An evaluation of techniques and recognition technologies for use in an automatic cataloging tool for consumer image collections is presented.  ...  Practical aspects of the requirements for a working in-camera solution are also discussed. 1 .  ...  Before any image sorting and retrieval can be carried out by our image classification system it is first necessary to initiate a training process on an image collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tce.2005.1510478">doi:10.1109/tce.2005.1510478</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bfmj2mmbpfhxpc5cb2ntsfayky">fatcat:bfmj2mmbpfhxpc5cb2ntsfayky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721024821/https://aran.library.nuigalway.ie/bitstream/handle/10379/290/pc_ieee_trans_consumer_elect_2005_d.pdf;jsessionid=CCF136F40F5733C4A754D3CEEA96A3B5?sequence=2" 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/0b/35/0b3554a162fdf99a08300e90c4b7f1245739bb6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tce.2005.1510478"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Fast Job Recognition and Sorting Based on Image Processing

He Yujie
<span title="2021-04-30">2021</span> <i title="International Information and Engineering Technology Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wsuaubw4tnbbhjln4ji2em2dmi" style="color: black;">Traitement du signal</a> </i> &nbsp;
To solve these shortcomings, this study presents a fast job recognition and sorting method based on image processing.  ...  Our method offers a new solution to rapid recognition and sorting of objects in other fields.  ...  Therefore, this paper proposes a fast job recognition and sorting method based on image processing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18280/ts.380220">doi:10.18280/ts.380220</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ynlavfccnve2rdnhopg6ls7tke">fatcat:ynlavfccnve2rdnhopg6ls7tke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715195604/https://www.iieta.org/download/file/fid/54295" 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/42/97/4297c38742cc0a34e945de87b9e555a43813e2d7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18280/ts.380220"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Data Augmentation Using Background Replacement for Automated Sorting of Littered Waste

Arianna Patrizi, Giorgio Gambosi, Fabio Massimo Zanzotto
<span title="2021-08-12">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/au3ye363lzbdroopx7rzfyv63m" style="color: black;">Journal of Imaging</a> </i> &nbsp;
Hence, our data-augmentation procedure seems a viable approach to support the development of waste recognizers for urban and wild environments.  ...  BackRep consists of a data-augmentation procedure, which expands existing datasets by cropping solid waste in images taken on a uniform (white) background and superimposing it on more realistic backgrounds  ...  The final output is a novel image with its trash classification label (see Figure 5 ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging7080144">doi:10.3390/jimaging7080144</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34460780">pmid:34460780</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6anuoct6pbbnfh2rqxek7cryu4">fatcat:6anuoct6pbbnfh2rqxek7cryu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210812125623/https://res.mdpi.com/d_attachment/jimaging/jimaging-07-00144/article_deploy/jimaging-07-00144.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/2c/fb/2cfb8023ce93b4bacd288a57df7e98e0473ea8bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging7080144"> <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 fluorescence-activated cell sorting subsystem for the Imaging FlowCytobot

Bennett S. Lambert, Robert J. Olson, Heidi M. Sosik
<span title="2016-10-17">2016</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oxf5gzsx6vbrxe6b7nzrqk7q4u" style="color: black;">Limnology and Oceanography : Methods</a> </i> &nbsp;
The sorting is carried out in two steps: a fluorescence signal triggers imaging and diversion of the sample flow into a commercially available "catcher tube," and then a solenoid-based flow control system  ...  Addition of imaging to flow cytometry improves classification capability considerably: Imaging FlowCytobot, which has been deployed at the Martha's Vineyard Coastal Observatory since 2006, allows classification  ...  Sosik) and NSERC through a Post-Graduate Masters award to B. Lambert.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/lom3.10145">doi:10.1002/lom3.10145</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/higsadczqbg7foyztzjqjajl54">fatcat:higsadczqbg7foyztzjqjajl54</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180725062341/https://darchive.mblwhoilibrary.org/bitstream/handle/1912/8867/Lambert_et_al-2017-Limnology_and_Oceanography__Methods.pdf;jsessionid=4BA3A09CE348F4F2E53595738D973619?sequence=1" 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/17/e2/17e296894fa5e0ffffe6dc831145e9a5cabdab91.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/lom3.10145"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> wiley.com </button> </a>

In-Line Sorting of Harumanis Mango Based on External Quality Using Visible Imaging

Mohd Ibrahim, Fathinul Ahmad Sa'ad, Ammar Zakaria, Ali Md Shakaff
<span title="2016-10-27">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
The average correct classification for shape classification was 98% for a training set composed of 180 mangoes.  ...  The results indicate that the in-line sorting system using machine vision has a great potential in automatic fruit sorting according to its shape and mass.  ...  The measurement methods were subject to human error and an inefficient approach for sorting a large quantity of product.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s16111753">doi:10.3390/s16111753</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27801799">pmid:27801799</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5134434/">pmcid:PMC5134434</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b33sbqwkhzd3zlnenvsasppvla">fatcat:b33sbqwkhzd3zlnenvsasppvla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728211457/https://res.mdpi.com/def50200539cb10c5801390021146aebfe7a6228796d3d0b37eb0a8d956889e71804e6bad0393e0adb65856d7d26fb5cbf7aaa6528affa0f65d62ef2ac961df37cb9552bed39cf8e49322020f272ed6311fefd688c3ffbad3e969a9354607dd0ae63622d98ad887c4927c047676fe44b9a3cf60fb1ea78c405d778a55e26224517a3e797e12361f1d96451f7c8c4be99?filename=&amp;attachment=1" 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/f7/6d/f76d5dfdb67f4852d1861f27054079ebd0ded9d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s16111753"> <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 target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134434" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Adaptive Binarization of QR Code Images for Fast Automatic Sorting in Warehouse Systems

Chen, Yu, Xu, Wang, Zhao, Tan
<span title="2019-12-11">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
An adaptive binarization approach is proposed to solve the problem of uneven illumination in warehouse automatic sorting systems.  ...  Experimental results have demonstrated the superiority of the proposed approach when benchmarked with several state-of-the-art methods.  ...  Since the automatic sorting system sorts the goods according to the associated QR code, rapid and accurate classification of the QR code is the key to the supply system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19245466">doi:10.3390/s19245466</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31835866">pmid:31835866</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6960674/">pmcid:PMC6960674</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3fhldgcixbgz5dxdg32ylg3c7q">fatcat:3fhldgcixbgz5dxdg32ylg3c7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191217035610/https://res.mdpi.com/d_attachment/sensors/sensors-19-05466/article_deploy/sensors-19-05466.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/97/81/97815af9b634156de3e2585f399eae8ff56269ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19245466"> <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 target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960674" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures [article]

Vasileios Anagnostidis, Benjamin Sherlock, Jeremy Metz, Philip Mair, Florian Hollfelder, Fabrice Gielen
<span title="2019-12-11">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The real-time sorting of single droplets was in-line with droplet generation and occurred at rates up to 40 per second independently of image size up to 480 x 480 pixels.  ...  This approach also enables the identification of specific objects within mixtures of objects of different types and sizes.  ...  Figure 6 -v shows the images used for classification by the CNN and the corresponding droplets stored after sorting ( Figure 6-vi) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.05490v1">arXiv:1912.05490v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ifi3t5dhn5fbhcxqbr2tjxvqti">fatcat:ifi3t5dhn5fbhcxqbr2tjxvqti</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828053848/https://arxiv.org/vc/arxiv/papers/1912/1912.05490v1.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/2b/dd/2bdd13c9dd49bc7817d83b26e38fc729daf883e7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.05490v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Genetic Algorithm Framework for Spike Sorting

Sajjad Farashi, Mohammad Mikaili
<span title="2015-03-08">2015</span> <i title="MECS Publisher"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7hgv6dkr7vaq7mvfy3joc3nu2y" style="color: black;">International Journal of Image Graphics and Signal Processing</a> </i> &nbsp;
In this study a new spike sorting procedure based on genetic algorithm is developed which contains two distinct phases.  ...  Spike sorting involves clustering spikes according to the similarity of their shapes. Usually the sorting procedure is carried out by extracting appropriate features of neuronal spikes.  ...  Approaches that utilize artificial neural network have been used in spike sorting [11] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5815/ijigsp.2015.04.05">doi:10.5815/ijigsp.2015.04.05</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/haxi3ds2e5amzgcmxwyeqrp3di">fatcat:haxi3ds2e5amzgcmxwyeqrp3di</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814003337/http://www.mecs-press.org/ijigsp/ijigsp-v7-n4/IJIGSP-V7-N4-5.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/9b/3c/9b3c87582905b17982ce084e6c61f4c780f70e62.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5815/ijigsp.2015.04.05"> <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>

Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products

<span title="">2018</span> <i title="Mechanical Engineering Faculty in Slavonski Brod"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t73uxenjnncj3pwpreqsfuzkyi" style="color: black;">Tehnički Vjesnik</a> </i> &nbsp;
After determining the range of these criteria, a new algorithm was developed for image segmentation written in Matlab.  ...  One of these points is color sorting by using machine vision, where inappropriate products are removed. Most important product appearance attributes are color and texture.  ...  In [37] a robust algorithm was proposed to estimate a global threshold for segmenting food image from a background, using a statistical approach from RGB componets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17559/tv-20171129091703">doi:10.17559/tv-20171129091703</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hccyl7pr5bd57nwcptkl6wbg5a">fatcat:hccyl7pr5bd57nwcptkl6wbg5a</a> </span>
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Optimization of an Intelligent Sorting and Recycling System for Solid Waste Based on Image Recognition Technology

Haitao Chen, Miaochao Chen
<span title="2021-12-03">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dur7nzaqy5hezkanc3eeianfuy" style="color: black;">Advances in Mathematical Physics</a> </i> &nbsp;
Image recognition is a technique to recognize images by capturing real-life images through devices and performing feature extraction, and this technique has been widely used since its inception.  ...  To facilitate testing the images and to design a YOLO algorithm-based construction solid waste target detection system.  ...  , i.e., global feature-based image classification and local feature-based image classification [10] .  ... 
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Fast video segment retrieval by Sort-Merge feature selection, boundary refinement, and lazy evaluation

Yan Liu, John R Kender
<span title="">2003</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dsarpzh6wfgadnyijwv5l6gh2i" style="color: black;">Computer Vision and Image Understanding</a> </i> &nbsp;
These subsets are induced by a new heuristic method called Sort-Merge feature selection, which exploits a novel combination of Fastmap for dimensionality reduction and Mahalanobis distance for likelihood  ...  Second, because these induced feature sets form a hierarchy with increasing classification accuracy, video segments can be segmented and categorized simultaneously in a coarse-fine manner that efficiently  ...  Among other approaches, Pickering et al in [7] consider the key-frames of each shot as a single image, and use the machine learning approach of Boosting Image Retrieval of Tieu and Viola in [8] to  ... 
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Hyperspectral Image Reconstruction Based on Reference Point Nondominated Sorting Genetic Algorithm

Li Wang, Wei Wang, Hasan Ali Khattak
<span title="2022-04-05">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khqygtfojnby3jyh5obuwd7ko4" style="color: black;">Mobile Information Systems</a> </i> &nbsp;
Based on the study of orthogonal matching pursuit (OMP) idea, a hyperspectral image reconstruction algorithm based on reference point nondominated sorting genetic algorithm (NSGA) is proposed.  ...  The proposed algorithm could be applied in the classification and unmixing in hyperspectral images.  ...  This approach uses a random Gaussian matrix as the spatial measurement matrix.  ... 
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