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