DocumentCode :
2450807
Title :
A new texture image segmentation algorithm
Author :
Liu Ren-jin ; Fu Mao-sheng ; Fang Jie
Author_Institution :
Dept. of Comput. Sci. & Technol., West Anhui Univ., China
fYear :
2010
fDate :
24-27 Aug. 2010
Firstpage :
574
Lastpage :
577
Abstract :
The relations between synthesis technology and image fusion are generalized, and some key questions are analyzed when using quotient space granularity synthesis in image segmentation. Furthermore the granularity synthesis method of quotient space is applied to analyze and processing of texture images and a new image segmentation algorithm of image segmentation is given. Firstly texture features of coarseness and directionality are extracted to form the different granularity spaces respectively. Then the quotient space synthesis method is adopted to segment the texture image. Experimental results demonstrate that the algorithm of granularity synthesis is useful and valid.
Keywords :
feature extraction; image fusion; image segmentation; image texture; image fusion; quotient space granularity synthesis; synthesis technology; texture feature extraction; texture image segmentation; Algorithm design and analysis; Feature extraction; Image fusion; Image segmentation; Pixel; Space technology; Topology; granularity synthesis; quotient space; texture images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
Type :
conf
DOI :
10.1109/ICCSE.2010.5593547
Filename :
5593547
Link To Document :
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