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不同纹理小波变换系数的正态性检验 被引量:5

Normal Verification of the Wavelet Coefficients in Different Texture
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摘要 针对不同纹理的文本图像经Haar小波变换所产生的小波系数 ,利用非参数假设检验中的直方图及正态概率纸的方法统计其分布规律 ,并利用黄金分割找出分界点 ,从而得出结论 :不同纹理小波变换系数在各个区间上基本服从正态分布 . On the basis of the wavelet coefficients by Haar wavelet transformation in different texture of document image, we make use of the normal probability-paper method in nonparametric hypothesis test to find their distribution rule. Then we study the distribution of the wavelet coefficients in each interval by the golden section. On the above rule, we come to the conclusion that the coefficients in each interval obey indeed normal distribution.
机构地区 河南大学数学系
出处 《河南大学学报(自然科学版)》 CAS 2002年第2期28-31,共4页 Journal of Henan University:Natural Science
基金 河南省教委自然科学基金项目 (199912 0 0 0 3)
关键词 正态分布 拟合检验 黄金分割 正态概率纸 非参数假设检验 HAAR小波变换 normal distribution simulation verification golden section normal probability paper nonparametric hypothesis test Haar wavelet transformation
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参考文献2

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  • 2李世雄.小波变换与其应用[M].北京:高等教育出版社,1997..

同被引文献21

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  • 10Chun L S, et al. Unsupervised texture segmentation via wavelet transform [J]. Pattern Recognitiong, 1997,30(5):729-742.

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