Texture segmentation using hierarchical wavelet decomposition

被引:50
作者
Salari, E
Ling, Z
机构
[1] Computer Vision and Image Processing Laboratory, Department of Electrical Engineering, University of Toledo, Toledo
关键词
D O I
10.1016/0031-3203(95)00054-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a texture segmentation algorithm based on a hierarchical wavelet decomposition. Using Daubechies' four-tap filter, an original image is decomposed into three detail images and one approximate image. The decomposition can be recursively applied to the approximate image to generate a lower resolution of the pyramid. The segmentation starts at the lowest resolution using the K-means clustering scheme and textural features obtained from various sub-bands. The result of segmentation is propagated through the pyramid to a higher resolution with continuously improving the segmentation. The lower resolution levels help to build the contour of the segmented texture, while higher levels refine the process, and correct possible errors.
引用
收藏
页码:1819 / 1824
页数:6
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