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中国图象图形学报 2006
Analysis on Texture Discrimination Performance of Moments of Local Fourier Transform Coefficients
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Abstract:
Local Fourier transform(LFT) is an important texture feature extracting method.In this paper,the texture discrimination performance of LFT coefficients' moments is studied.The Fisher criterion is used to evaluate the discrimination performance of different texture features.Texture image segmentation experiments enable the conclusions more reliable.It is revealed that the LFT coefficients of texture images usually do not obey normal distribution,their even-order moments exhibit preferable texture discrimination performance,while their odd-order moments exhibit baddish.If LFT coefficients' 2nd,4th and 6th order moments are used as texture features,better texture discrimination performance and segmentation results can be achieved than those of Yu Hui and Haralick.So,it is suggested that the even-order moments of LFT coefficients are selected as texture features.