Contourlet Texture Retrieval Filter Characters
Contourlet transform has been proved superior to wavelet in representation piecewise texture and contour characters in digital images. In order to improve the retrieval rate further,we studied the representation abilities of some different filters for texture features in two contourlet retrieval systems. The two systems both used Canberra distance for similarity measure,but different feature vectors which composed of energy combined kurtosis and energy combined standard deviation,respectively. Experiment on a 109 texture image datahase from MIT rsults that the filter pkva performs better than other ones including bi-orthogonal 9-7,haar,burt,bi-orthogonal 5-3,etc,for the two retrieval systems,under the same system structure.
Content based image retrieval Contourlet transform Texture image Retrieval system Filter
Zhen Guo Xinwu Chen
Xinyang Normal University,China
国际会议
西安
英文
1273-1275
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）