A modified Gray-Level Difference Algorithm for Analysing Gaussian Blurred Texture Images

摘要：

A modified texture feature extraction method based on gray-level difference (GLD) algorithm is presented in this paper. Briefly, the proposed method is composed of four steps: 1) the variance of the images texture part is estimated and compared to the preset threshold; 2) the Wiener filter was applied to remove Gaussian blur noise iteratively if the variance is lower than the threshold; 3) until the variance is higher than the threshold and then iteration stops; 4) the conventional GLD algorithm is used to extract the texture information from the processed texture image. To measure the discrimination performance of the new algorithm, Experiments are operated and the results indicate that the new method is better than the conventional GLD algorithm while extracting textural information from image with noise, especially when contaminated by Gaussian blur noise.

关键词： Gray-Level Difference (GLD) texture feature confusion matrix wiener fitter

作者: Rui Zhang Xiang Qian Datian Ye

作者单位: Graduate School at ShenZhen, Tsinghua University.ShenZhen, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 848-852

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）