DocumentCode :
955465
Title :
Improved fractal geometry based texture segmentation technique
Author :
Chaudhuri, B.B. ; Sarkar, N. ; Kundu, P.
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
Volume :
140
Issue :
5
fYear :
1993
fDate :
9/1/1993 12:00:00 AM
Firstpage :
233
Lastpage :
241
Abstract :
The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, FD of below (low) gray level image, and multifractal of order two. A modified box-counting approach is proposed to estimate the FD and computed features all are normalised in the same range
Keywords :
fractals; image segmentation; box-counting approach; feature domain smoothing; fractal dimension; fractal geometry based texture segmentation technique; gray level image; k-nearest neighbour classifier; minimum distance classifier; natural textures; nonsupervised clustering;
fLanguage :
English
Journal_Title :
Computers and Digital Techniques, IEE Proceedings E
Publisher :
iet
ISSN :
0143-7062
Type :
jour
Filename :
237915
Link To Document :
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