A fuzzy approach to texture segmentation
- 1 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.
- Vol. 1, 636-642 Vol.1
- https://doi.org/10.1109/itcc.2004.1286537
Abstract
The texture segmentation techniques are diversified by the existence of several approaches. In this paper, we propose fuzzy features for the segmentation of texture image. For this purpose, a membership function is constructed to represent the effect of the neighboring pixels on the current pixel in a window. Using these membership function values, we find a feature by weighted average method for the current pixel. This is repeated for all pixels in the window treating each time one pixel as the current pixel. Using these fuzzy based features, we derive three descriptors such as maximum, entropy, and energy for each window. To segment the texture image, the modified mountain clustering that is unsupervised and fuzzy c-means clustering have been used. The performance of the proposed features is compared with that of fractal features.Keywords
This publication has 12 references indexed in Scilit:
- Input Selection for TSK Fuzzy Model based on Modified Mountain ClusteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Structure identification of generalized adaptive neuro-fuzzy inference systemsIEEE Transactions on Fuzzy Systems, 2003
- An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parametersIEEE Transactions on Geoscience and Remote Sensing, 1995
- Improved fractal geometry based texture segmentation techniqueIEE Proceedings E Computers and Digital Techniques, 1993
- Unsupervised texture segmentation using Gabor filtersPattern Recognition, 1991
- A validity measure for fuzzy clusteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 1991
- Characterization and Measurement of Random FractalsPhysica Scripta, 1986
- Segmentation of a high-resolution urban scene using texture operatorsComputer Vision, Graphics, and Image Processing, 1984
- Segmentation by texture using a co-occurrence matrix and a split-and-merge algorithmComputer Graphics and Image Processing, 1979
- Fractional Brownian Motions, Fractional Noises and ApplicationsSIAM Review, 1968