Texture Segmentation Based on Pattern Maps Obtained by Independent Component Analysis
In this paper, we propose a new feature for texture segmentation that is based on the pixel patterns and thus is independent of the variance of illumination. A gray scale image is transformed into a pattern map in which edges and lines (bars) used to characterize the texture information are classified by pattern matching. The Gabor filters can enhance edge features, however, are not effective in edge pattern classification. We extract the pattern templates from image patches by Independent Component Analysis. Based on the pattern maps, the feature vector is comprised of the numbers of the pixels belonging to each pattern. The calculation of the features is simple and not related to the number of the components, so the proposed method is quite time saving compared with other multichannel segmentation algorithms.
texture segmentation pattern matching Independent Component Analysis (ICA) ICA pattern map.
Xiang-Yan Zeng Yen-Wei Chen Zensho Nakao Hanqing Lu
Faculty of Engineering, University of the Ryukyus, Okinawa, 903-0121, Japan National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, 2772,China
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1227-1232
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）