DocumentCode
384117
Title
Edge detection and texture segmentation based on independent component analysis
Author
Chen, Yen-wei ; Zeng, Xiang-Yan ; Lu, Hanqing
Author_Institution
Fac. of Eng., Ryukyus Univ., Okinawa, Japan
Volume
3
fYear
2002
fDate
2002
Firstpage
351
Abstract
We present a new feature extraction technique based on independent component analysis (ICA). We use ICA to learn the basis junctions of natural images and then the basis functions are used as pattern templates for feature detections. The successful applications of the proposed method to edge detection and texture segmentation are demonstrated.
Keywords
edge detection; feature extraction; image segmentation; image texture; principal component analysis; edge detection; feature detection; feature extraction; independent component analysis; pattern templates; texture segmentation; Computer vision; Higher order statistics; Image edge detection; Image segmentation; Image texture analysis; Independent component analysis; Pixel; Principal component analysis; Signal processing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1047866
Filename
1047866
Link To Document