Title :
Texture segmentation based on wavelet and Kohonen network for remotely sensed images
Author :
Chen, Z. ; Feng, T.J. ; Houkes, Z.
Author_Institution :
Dept. of Electr. Eng., Ocean Univ. of Qingdao, China
Abstract :
In this paper, an approach based on wavelet decomposition and Kohonen´s self-organizing map is developed for image segmentation. After performing the 2D wavelet transform of image, some features are extracted for texture segmentation, and the Kohonen neural network is used to accomplish feature clustering. The experimental results demonstrated the satisfactory effect of the proposed approach both for simulated textured image and multi-spectral remotely sensed images
Keywords :
feature extraction; image segmentation; image texture; remote sensing; self-organising feature maps; wavelet transforms; 2D wavelet transform; Kohonen self-organizing map; clustering; feature extraction; image segmentation; image texture; neural network; remote sensing; Band pass filters; Clouds; Feature extraction; Image processing; Image segmentation; Ocean temperature; Pollution measurement; Sea measurements; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816656
