Texture image segmentation based on nonlinear diffusion

Geo-spatial Information Science - Tập 11 - Trang 38-42 - 2008
Yu Zhang1
1Yangtze River Scientific Research Institute, Wuhan, China

Tóm tắt

A texture image segmentation based on nonlinear diffusion is presented. The scale of texture can be measured during the process of nonlinear diffusion. A smooth 5-channel vector image with edge preserved, which is composed of intensity, scale and orientation of texture image, can be achieved by coupled nonlinear diffusion. A multi-channel statistical region active contour is employed to segment this vector image. The method can be seen as a kind of unsupervised segmentation because parameters are not sensitive to different texture images. Experimental results show its high efficiency in the semiautomatic extraction of texture image.

Tài liệu tham khảo

Perona P, Malik J (1990) Scale space and edge detection using anisoropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12:629–639 Brox T, Welk M, Steidl G, et al. (2003) Equivalence results for TV diffusion and TV regularization[M]// Griffin L D, Lillholm M. Scale-space methods in computer vision. Berlin: Springer-Verlag Rao A R, Schunck B G (1991) Computing oriented texture fields[J]. CVGIP: Graphical Models and Image Processing, 53:157–185 Rousson M, Brox T, Deriche R (2003) Active unsupervised texture segmentation on a diffusion based feature space[C]. 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, WI Weickert J, ter Haar Romeny B M, Viergever M A (1998) Efficient and reliable schemes for nonlinear diffusion filtering[J]. IEEE Transactions on Image Processing, 7(3):398–401 Chesnaud C, Refregier P, Boulet V (1999) Statistical region snake-based segmentation adapted to different physical noise models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(11):1 145–1 157