DocumentCode :
1744754
Title :
An image segmentation method with multi-resolution mechanism
Author :
Miyanaga, Yoshikazu ; Sato, Atara ; HeeBurm, Ryu
Author_Institution :
Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
Volume :
2
fYear :
2001
fDate :
6-9 May 2001
Firstpage :
29
Abstract :
This report proposes a new image segmentation method with a multi-resolution mechanism. In this method, high accuracy on image edge extraction and image texture evaluation is realized. The proposed method employs edge extraction based on the average values of intensities in a small image part and also the texture evaluation based on the co-occurrence probability of a local image area. In this report, some experimental results show the high accuracy of estimation on image boundaries
Keywords :
edge detection; image resolution; image segmentation; image texture; probability; co-occurrence probability; image boundaries; image edge extraction; image segmentation method; image texture evaluation; intensity average values; local image are; multi-resolution mechanism; texture evaluation; Artificial intelligence; Counting circuits; Image coding; Image communication; Image edge detection; Image recognition; Image segmentation; Image texture; Pixel; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
Type :
conf
DOI :
10.1109/ISCAS.2001.920998
Filename :
920998
Link To Document :
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