Presentation 2011-03-11
Color Image Segmentation Based on Statistics of Location and Feature Similarity
Fumihiko MORI, Hiromitsu YAMADA, Makoto MIZUNO, Naotoshi SUGANO,
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Abstract(in English) The process of "image segmentation and extracting remarkable regions" is an important research subject for the image understanding. However, an algorism based on the global features is hardly found. The requisite of such an image segmentation algorism is to reduce as much as possible the over segmentation and over unification. We developed an algorism using the multidimensional convex hull based on the density. In the concrete, we propose a simple and quick new algorism in which regions are expanded according to the statistics of the region such as the mean value, standard deviation, maximum value and minimum value of pixel location, brightness and color elements and the statistics are updated. We also introduced a new concept of conspicuity degree and applied it to the various 21 images to examine the effectiveness. The remarkable object regions which were extracted by the presented system, highly coincided with those which were pointed by the sixty four subjects who attended the psychological experiment.
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Keyword(in English) Image segmentation / Sequential search / Statistics of location / Similarity of feature / Non-connectivity
Paper # PRMU2010-278
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Conference Information
Committee PRMU
Conference Date 2011/3/3(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Color Image Segmentation Based on Statistics of Location and Feature Similarity
Sub Title (in English)
Keyword(1) Image segmentation
Keyword(2) Sequential search
Keyword(3) Statistics of location
Keyword(4) Similarity of feature
Keyword(5) Non-connectivity
1st Author's Name Fumihiko MORI
1st Author's Affiliation Faculty of Engineering, Tamagawa University()
2nd Author's Name Hiromitsu YAMADA
2nd Author's Affiliation Faculty of Engineering, Tamagawa University
3rd Author's Name Makoto MIZUNO
3rd Author's Affiliation Faculty of Engineering, Tamagawa University
4th Author's Name Naotoshi SUGANO
4th Author's Affiliation Faculty of Engineering, Tamagawa University
Date 2011-03-11
Paper # PRMU2010-278
Volume (vol) vol.110
Number (no) 467
Page pp.pp.-
#Pages 6
Date of Issue