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OALib Journal期刊
ISSN: 2333-9721
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Analysis on Texture Discrimination Performance of Moments of Local Fourier Transform Coefficients
局部傅里叶变换系数各阶矩的纹理鉴别性能分析

Keywords: image processing,pattern recognition,texture features,texture analysis,local Fourier transform
图像处理
,模式识别,纹理特征,纹理分析,局部傅里叶变换

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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.

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