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of 2 201
pro vyhledávání: '"Minimum spanning tree-based segmentation"'
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540289692
CAIP
CAIP
Two segmentation methods based on the minimum spanning tree principle are evaluated with respect to each other. The hierarchical minimum spanning tree method is also evaluated with respect to human segmentations. Discrepancy measure is used as best s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec103643f11bb460be4121728f9d663
https://doi.org/10.1007/11556121_71
https://doi.org/10.1007/11556121_71
Autor:
Gagalowicz, André, Philips, Wilfried, Haxhimusa, Yll, Ion, Adrian, Kropatsch, Walter G., Illetschko, Thomas
Publikováno v:
Computer Analysis of Images & Patterns; 2005, p579-586, 8p
Kniha
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Autor:
Ayelet Heimowitz, Yosi Keller
This paper presents an unsupervised and semi-automatic image segmentation approach where we formulate the segmentation as an inference problem based on unary and pairwise assignment probabilities computed using low-level image cues. The inference is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35fef1baec6f560ae20c94227ca25747
http://arxiv.org/abs/2305.07954
http://arxiv.org/abs/2305.07954
Publikováno v:
Vision Systems: Segmentation and Pattern Recognition
Segmentation is the partitioning of an image into multiple regions (sets of pixels) according to a given criterion. The goal of segmentation is typically to locate objects of interest within the image. A wide variety of methods and algorithms are ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55de835f50667b6ac51cf8c28a5b93e9
http://www.intechopen.com/articles/show/title/a_parallel_framework_for_image_segmentation_using_region_based_techniques
http://www.intechopen.com/articles/show/title/a_parallel_framework_for_image_segmentation_using_region_based_techniques
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:46-61
In this paper, we address the segmentation problem under limited computation and memory resources. Given a segmentation algorithm, we propose a framework that can reduce its computation time and memory requirement simultaneously , while preserving it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ebd73c9547df7ccaf5c5220d8c34373
https://doi.org/10.1109/tcsvt.2016.2600261
https://doi.org/10.1109/tcsvt.2016.2600261
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 56:228-238
Image segmentation is the foundation of object-based image analysis, and many researchers have sought optimal segmentation results. The initial image oversegmentation and the optimal segmentation scale are two vital factors in high spatial resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::448a5606161b36f72312987d93216d94
https://doi.org/10.1109/tgrs.2017.2745507
https://doi.org/10.1109/tgrs.2017.2745507
Autor:
Licheng Jiao, Rustam Stolkin, Biao Hou, Amir Masoud Ghalamzan Esfahani, Ronghua Shang, Yijing Yuan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:5657-5673
Recent high-performance clustering methods process all pixels when segmenting an image, which results in a very large time complexity of these algorithms. Additionally, the performance of such algorithms can be severely affected by noise when dealing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b486cca6fd13606dd8857ed3d7ea7d36
https://doi.org/10.1109/jstars.2017.2743338
https://doi.org/10.1109/jstars.2017.2743338
Autor:
Weiwei Wang, Cui-ling Wu
Publikováno v:
Neurocomputing. 267:426-435
Image segmentation aims to partition an image into several disjoint regions with each region corresponding to a visual meaningful object. It is a fundamental problem in image processing and computer vision. Recently, subspace clustering methods shows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bdaaf95a05ffd95bb0534ca767f84a7
https://doi.org/10.1016/j.neucom.2017.06.046
https://doi.org/10.1016/j.neucom.2017.06.046
Publikováno v:
Neurocomputing. 266:550-565
Accurate image segmentation is an essential step in image processing, where Gaussian mixture models with spatial constraint play an important role and have been proven effective for image segmentation. Nevertheless, most methods suffer from one or mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a736504af097f15e4f4af48d2ae13930
https://doi.org/10.1016/j.neucom.2017.05.069
https://doi.org/10.1016/j.neucom.2017.05.069