Tezture Analyse Based on Coefficients’ Relationship Co-occurrence Histogram

摘要：

We propose a novel texture feature extraction technique based on coefficients’ co-occurrence histogram of discrete wavelet frame transformed image, which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. It is not independently utilizing the information of each subband coefficient. The classification performance is analyzed using the k-Nn classifier. And the experimental results demonstrate the effectiveness of our proposed texture feature in achieving the improved classification performance. Comparisons with the Gabor filter and a recently proposed approach are also provided.

作者: Liu Xiaoshan Liu Qing Fu Guolan

作者单位: School of Physics and Communication Electronics, Jiangxi Normal University, Nanchang 330022, Jiangxi School of Technology , JingGangShan University, Ji’an 343009, Jiangxi, China School of Physics and Communication Electronics, Jiangxi Normal University, Nanchang 330022, Jiangxi

会议类型: 国际会议

会议名称: 11th IEEE International Conference on Computer-Aided Design and Computer Graphics(第11届IEEE国际计算机辅助设计与图形学学术会议 IEEE CAD/GRAPHICS 2009)

会议地点: 黄山

会议语种:英文

页码: 584-587

在线出版日期: 2009-08-19（万方平台首次上网日期，不代表论文的发表时间）