Proceedings Article10.1109/ICIP.1999.819600
Color image segmentation method using watershed algorithm and contour information
Ayako Shiji,Nozomu Hamada +1 more
- 24 Oct 1999
- Vol. 4, pp 305-309
31
TL;DR: In this paper, a segmentation method of color images with being rid of oversegmentation is proposed, which uses not only the pixel's property but also the information of regions' contour.
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Abstract: In this paper, we propose a segmentation method of color images with being rid of oversegmentation. Many conventional segmentation methods assign one region to each gathering of pixels which have similar property. But, these methods tend to oversegment by the optical influences. Besides, they do not use the edge information, therefore the edge is not always selected to the boundary. In this study, we propose a segmentation method of color images with being rid of oversegmentation. Our method uses not only the pixel's property but also the information of regions' contour. It consists of the first segmentation process and the region combining process. First, the given image is segmented in consideration of the edge information. Next, the obtained regions are combined according to pixels' property and regions' contour.
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Citations
Obstacle detection using adaptive color segmentation and color stereo homography
Parag Batavia,Sanjiv Singh +1 more
- 21 May 2001
TL;DR: An obstacle detection methodology which combines two complementary methods: adaptive color segmentation, and stereo-based color homography is described, particularly suited for environments in which the terrain is relatively flat and of roughly the same color.
Human Perception-Based Color Image Segmentation Using Comprehensive Learning Particle Swarm Optimization
Parag Puranik,Preeti Bajaj,Ajith Abraham,Prasanna Palsodkar,A. Y. Deshmukh +4 more
- 16 Dec 2009
TL;DR: In Comprehensive learning particle Swarm optimization specific weight is assigned to each color for obtaining high classification rate and particle with the highest fitness value is selected as the best set of fuzzy rules for image segmentation.
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Evolving a Fuzzy Rule-Base for Image Segmentation
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TL;DR: The aim here is to automatically produce a fuzzy system for color classification and image segmentation with least number of rules and minimum error rate and less computational load when using this method compared with other methods, because it generates a smaller number of fuzzy rules.
References
•Book
Image Analysis and Mathematical Morphology
Jean Serra
- 11 Feb 1984
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
10.1K
Integrating region growing and edge detection
Theodosios Pavlidis,Y.-T. Liow +1 more
TL;DR: A method that combines region growing and edge detection for image segmentation is presented and is thought that the success in the tool images is because the objects shown occupy areas of many pixels, making it is easy to select parameters to separate signal information from noise.
590
Automatic watershed segmentation of randomly textured color images
TL;DR: The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion.
384
Hierarchical morphological segmentation for image sequence coding
Philippe Salembier,Montse Pardàs +1 more
TL;DR: A hierarchical morphological segmentation algorithm for image sequence coding that directly segments 3-D regions and concentrates on the coding residue, all the information about the 3- D regions that have not been properly segmented and therefore coded.
Probability, Information and Entropy
TL;DR: The claim that information theory provides a foundation for statistical thermodynamics which is independent of the use of ensembles can be sustained only if probabilities can be determined numerically without treating them as frequencies.
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