期刊文献+

基于小波变换的图像边缘检测算法及像素结构分析 被引量:2

Structure Analysis and Improved Method of Images Edgedetection Based on Wavelets Transform
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摘要 对基于多尺度小波变换的图像边缘检测算法进行了改进。通过处理小波变换后出现的负值解决了双边缘问题;通过处理两层邻域的像素点解决了边缘线间断问题,并与传统算法的结果进行了比较,结果表明,利用这一新的算法可使图像边缘更加光滑、边缘定位更精确。 A method of image edge detection based on wavelets multi-scale transform is presented through analysing sorts of image structure cells. By using negative value and dual point after wavelets transform can solve effectively image edge disconnection and rough. Compared with traditional method, it is shown that image edge is smoother and it is more accurate to make a reservation by using the method.
出处 《青岛大学学报(自然科学版)》 CAS 2005年第3期71-76,共6页 Journal of Qingdao University(Natural Science Edition)
基金 山东省自然科学基金资助项目(Y2003G01)
关键词 边缘检测 图像处理 像素结构 小波变换 edge-detection images operation image structure wavelet transform
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参考文献4

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共引文献37

同被引文献20

  • 1刘国军,唐降龙,黄剑华,刘家峰.基于模糊小波的图像对比度增强算法[J].电子学报,2005,33(4):643-646. 被引量:19
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