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A Novel Face Matching Technique using Mean-Shift with Region Merging

Shahab Ahmed, Zeeshan Khan, Anurag Jain
2013 International Journal of Computer Applications  
The proposed method automatically merges the regions that are initially segmented by mean shift segmentation, effectively extracts the object contour and then, matches the obtained mask with test database  ...  This paper presents an approach to region based face matching. The low level image segmentation method mean shift is used to divide the image into many small regions.  ...  [11] addresses the automatic image segmentation problem in a region merging style.  ... 
doi:10.5120/10500-5266 fatcat:73s35wdtdffcnpevlqhjjq7kay

Cascade framework for object extraction in image sequences

Peng Li, Zhipeng Cai, Cheng Wang, Zhuo Sun, Hanyun Wang, Jonathan Li
2012 2012 International Conference on Computer Vision in Remote Sensing  
for object markers propagation and a novel interactive region merging method for the exact object contour segmentation.  ...  This paper proposes a novel cascade framework to improve spatiotemporal object extraction algorithms for unconstrained image sequences.  ...  Finally, the exact object contour is segmented by maximal similarity based region merging algorithm (MSRM) [13] . Then the object segmentation will be feedback for the approach.  ... 
doi:10.1109/cvrs.2012.6421233 fatcat:s2jplia7kbarbpzjuguzbmlmji

Towards Fully Automatic Image Segmentation Evaluation [chapter]

Lutz Goldmann, Tomasz Adamek, Peter Vajda, Mustafa Karaman, Roland Mörzinger, Eric Galmar, Thomas Sikora, Noel E. O'Connor, Thien Ha-Minh, Touradj Ebrahimi, Peter Schallauer, Benoit Huet
2008 Lecture Notes in Computer Science  
Spatial region (image) segmentation is a fundamental step for many computer vision applications.  ...  the performance of image segmentation approaches.  ...  Conclusions This paper describes a novel framework for image segmentation evaluation that supports automatic evaluation and comparison of image segmentation approaches.  ... 
doi:10.1007/978-3-540-88458-3_51 fatcat:fizslgphk5enldnuy2ehw3siue

Region Merging Strategy Using Statistical Analysis for Interactive Image Segmentation on Dental Panoramic Radiographs

Agus Zainal Arifin, Rarasmaya Indraswari, Nanik Suciati, Eha Renwi Astuti, Dini Adni Navastara
2017 International Review on Computers and Software (IRECOS)  
In this paper we proposed a novel strategy of region merging in interactive image segmentation using discriminant analysis on dental panoramic radiographs.  ...  Experimental results show that the proposed region merging strategy give a high segmentation accuracy both for low contrast and natural images.  ...  In this paper we proposed a novel strategy of region merging in interactive image segmentation using discriminant analysis on dental panoramic radiographs.  ... 
doi:10.15866/irecos.v12i1.10825 fatcat:x4qgxwh5lvbvfml4kq4hqgckua

Automatic detection of salient objects and spatial relations in videos for a video database system

Tarkan Sevilmiş, Muhammet Baştan, Uğur Güdükbay, Özgür Ulusoy
2008 Image and Vision Computing  
We propose a tool for the automatic detection and tracking of salient objects, and derivation of spatio-temporal relations between them in video.  ...  The proposed framework covers a scalable architecture for video processing and stages of shot boundary detection, salient object detection and tracking, and knowledge-base construction for effective spatio-temporal  ...  Initial segmentation Graph-based approaches are very successful for image segmentation.  ... 
doi:10.1016/j.imavis.2008.01.001 fatcat:p5ebcpclcrbhlekelzcp4e5wxm

Multiscale Color-Texture Image Segmentation with Adaptive Region Merging

Tao Wan, Nishan Canagarajah, Alin Achim
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
A novel region merging algorithm is introduced with a simple and effective segment classi cation by using HTF to deal with the over-segmentation problem.  ...  A novel multiscale image segmentation algorithm is presented, which is based on the dominant color and homogeneous texture features (HTF) that are adopted in the MPEG-7 standard.  ...  A novel region merging approach classi es image segments into smooth, textured and complex categories.  ... 
doi:10.1109/icassp.2007.366132 dblp:conf/icassp/WanCA07 fatcat:vezocp3tdracxhhbu57qcmfdxa

Human Skin Cancer Recognition and Classification by Unified Skin Texture and Color Features

Dr. Shubhangi D C
2013 IOSR Journal of Computer Engineering  
To solve all these factors we have introduced a new approach called novel iterative stochastic region merging likelihood for segmenting the skin lesion from macroscopic images based on the discrete wavelet  ...  In this paper we have proposed a novel method called automatic segmentation of skin lesion in conventional macroscopic images. Many approaches have been proposed to determine the skin cancer.  ...  Statistical region merging, a statistical basis for image segmentation by region merging following a particular order in the choice of regions.  ... 
doi:10.9790/0661-1244249 fatcat:6bnzlqcrbbc5doipa4s3eg7pje

A Review on Different Image Segmentation Techniques

Inderpal Singh, Dinesh Kumar
2011 Indian Journal Of Applied Research  
This paper has presented a review on different image segmentation techniques. The image segmentation; segments a given image into separate regions and objects.  ...  The overall objective of this paper is to review various techniques of image segmentation. The short comings of image segmentation techniques will also be evaluated.  ...  There are many approaches available for the image segmentation.  ... 
doi:10.15373/2249555x/apr2014/200 fatcat:go3yaotcx5gxpm7ql3jldlyxeq

Split and Merge: A Region Based Image Segmentation

Anju Bala, Aman Kumar Sharma
2018 International Journal of Emerging Research in Management and Technology  
Image segmentation is a very challenging task in digital image processing field.  ...  It is defined as the process of takeout objects from an image by dividing it into different regions where regions that depicts some information are called objects.  ...  SPLIT AND MERGE Split and merge is based on the divide and conquer approach. In it input image is divided into sub regions until the sub regions become small enough for segmentation.  ... 
doi:10.23956/ijermt.v6i8.157 fatcat:np66clv2gba6jojlwmchklib6u

Semi-supervised Method of Multiple Object Segmentation with a Region Labeling and Flood Fill

Uday Pratap Singh, Kanak Saxena, Sanjeev Jain
2011 Signal & Image Processing An International Journal  
The proposed method automatically merges the regions that are initially segmented through mean shift technique, and then effectively extracts the object contour by merging all similar regions.  ...  A novel similarity based region merging mechanism is proposed to guide the merging process with the help of mean shift technique and objects detection using region labeling and flood fill.  ...  The key contribution of the proposed method is a novel maximal similarity based region merging technique, which is adaptive to image content and does not requires a present threshold.  ... 
doi:10.5121/sipij.2011.2314 fatcat:akpwo6y3qnahhhwwgpy6pjjng4

Towards Automated Cellular Image Segmentation for RNAi Genome-Wide Screening [chapter]

Xiaobo Zhou, K. -Y. Liu, P. Bradley, N. Perrimon, Stephen TC Wong
2005 Lecture Notes in Computer Science  
Image analysis becomes a bottleneck in realizing high content imaging screens. We propose a two-step segmentation approach to solve this problem.  ...  Furthermore, Voronoi diagrams are employed to correct the segmentation errors caused by overlapping cells. Image features are extracted for each cell.  ...  For example, Wahlby, et. al., [4] proposed a cytoplasm segmentation based on watershed segmentation and rule-based merging and splitting of over-segmented and under-segmented objects.  ... 
doi:10.1007/11566465_109 fatcat:kdggxcsdpzepbjuyabqwdzqqva

Region Similarity Measures for Automatic Detection of Building Roofs from Orthophotoplans

Abdellatif El Idrissi, Youssef El Merabet, Yassine Ruichek, Cyril Meurie, Abderrahmane Sbihi, Ahmed Moussa
2014 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems  
In this paper, an efficient and automatic method for detection of multiple-objects of interest from images is presented. This method is based on using region similarity measures.  ...  In the purpose of separating objects of interest from image background, an evaluation of the similarity between regions of the segmented image and those of the constructed knowledge databases is then performed  ...  ACKNOWLEDGMENT The authors would like to thank the "Communauté d'Agglomération Belfortaine" for making available the "orthophotoplan" images on which the tests have been performed.  ... 
doi:10.1109/sitis.2014.101 dblp:conf/sitis/IdrissiMRMSM14 fatcat:7o6c7ocslnfr5gwqngwc4istmu

Interactive imaging and vision—Ideas, algorithms and applications

Guoping Qiu, Pong C. Yuen
2010 Pattern Recognition  
Suen, for their support for this special issue. We would like to express our sincere gratitude to the many reviewers for their help in the paper selection process.  ...  We would like to thank the authors for submitting their works for consideration by this special issue. Finally, we would like to thank the staff at the journal's editorial office for their assistance.  ...  In the paper "Interactive Image Segmentation by Maximal Similarity Based Region Merging", Zhang and co-workers presented a new region merging based interactive image segmentation method.  ... 
doi:10.1016/j.patcog.2009.04.010 fatcat:7ui3eq4v4ff4hms4p2furng55u

A Resegmentation Approach for Detecting Rectangular Objects in High-Resolution Imagery

Thales Sehn Korting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca
2011 IEEE Geoscience and Remote Sensing Letters  
Image segmentation covers techniques for splitting one image into its components as homogeneous regions. This letter presents a resegmentation approach applied to urban images.  ...  The main contribution of this letter is a technique, which works with the RAG, to maximize the objective function in a relaxationlike approach that splits and merges oversegmented regions until they form  ...  Subsets of the foreground regions connected to each other might define a rectangular object; therefore, they will be merged into a single segment. We propose a novel merging strategy.  ... 
doi:10.1109/lgrs.2010.2098389 fatcat:7sgkgbct5fehrnlvh555mjdzkm

Automatic model-based semantic object extraction algorithm

Jianping Fan, Xingquan Zhu, Lide Wu
2001 IEEE transactions on circuits and systems for video technology (Print)  
Automatic image segmentation and object extraction play an important role in supporting content-based image coding, indexing, and retrieval.  ...  A seeded region aggregation procedure is used for merging the adjacent regions of a detected object seed to give a semantic object according to the perceptual model of the object.  ...  Aizawa for his efforts in coordinating the review of this paper.  ... 
doi:10.1109/76.954494 fatcat:akszsqvqmnc65ksxrprnadozwy
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