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基于可变邻域的小波变换的球团图像边缘检测算法

Pellets image edge detection algorithm based on variable-neighboring wavelet transform
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摘要 提出一种基于小波变换的球团图像边缘检测算法。Mallat等提出利用小波变换的局部极大值点来表征信号的奇异点,从而进行图像边缘提取。但小波变换的局部极大值点的确定直接关系到边缘检测效果的优劣。提出一种基于模极大值的小波变换的局部极大值点选择方法,实验表明,该方法比传统的图像边缘提取方法具有更好的效果。 An edge detection algorithm based on wavelet transform was presented. Mallat and other scholar had proposed that the singular point of signal can be presented by the local maxima of its wavelet transform, thus the edges by wavelet transform can be detected. But the criteria of selecting local maxima of its wavelet transform directly decides the edge image quality, so a selection method of local maxima of wavelet transform based on module maxima was proposed. The experiment shows that the method is better than the traditional methods of image edge extraction.
出处 《鞍山科技大学学报》 2005年第6期423-426,共4页 Journal of Anshan University of Science and Technology
关键词 小波变换 边缘检测 球团 wavelet transform edge detection pellet
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