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基于短小波包的图像边缘检测算法(英文)

Research on Edge Detection Algorithm Based on Shorten Wavelet Packet
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摘要 使用缩短小波包算法对图像进行处理.对图像进行多层次小波包分解,分解之后用小波包重构高频子空间从而减少图像边缘信号损失。最后依据每层阀值化后的系数,得到图像的边缘.实验结果表明,该算法既能根据需要分别求出不同尺度不同方向下图像的边缘,又能保持图像边缘的完整性和清晰性。 An algorithm of shorten wavelet packet to detect edge of the image is proposed. The algorithm use shorten wavelet packet to decompose the high-frequency-space of image, and then use shorten wavelet package refactoring some sub-space that is decomposed. Finally the algorithm gets the clear edge of images. The algorithm not only can calculate different scales of the image edge, but also maintain the integrity and clarity to the edge of image.
作者 胡深 潘振宽
出处 《青岛大学学报(自然科学版)》 CAS 2010年第2期23-27,共5页 Journal of Qingdao University(Natural Science Edition)
关键词 缩短小波包 边缘检测 子空间 分解 小波包重构 shorten wavelet packet edge detection subspace decompose wavelet packet reconstruction
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参考文献8

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