Adaptive segmentation of textures using mathematical morphology
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15206149,p. 2685-2688 vol.4
- https://doi.org/10.1109/icassp.1991.150955
Abstract
The authors define a recursive morphological decomposition algorithm using a group of structuring elements of different sizes. The algorithm decomposes a texture image into a series of images according to their primitive sizes and gray levels. In order to segment accurately the boundaries of adjacent regions, an adaptive technique is proposed based on Bayes error estimation to determine the size of the window over which texture features are extracted. Thus, window size varies according to its position in image and to the textures to be segmented. Experimental results are given.<>Keywords
This publication has 2 references indexed in Scilit:
- Image Analysis Using Mathematical MorphologyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Multiple Resolution Texture Analysis and ClassificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984