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基于样条小波的增强算法在角点提取中的应用 被引量:2

Corner Extraction Based on Spline Wavelet Enhancement
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摘要 文章分析了样条小波在尺度空间中描述图像的特点,针对图像分割中角点提取对图像增强的要求,探讨了样条小波增强技术。算法利用小波域的多尺度点积来设定门限,提高了图像对比度,增强了图像的几何特征。实验结果表明,对图像采用样条小波增强方法,改善了视觉效果,加强了边缘和细节,增加了角点提取的准确性,为进一步图像匹配奠定了良好的基础。 Based on the analysis of the characteristics of the spline wavelet representing images in the scale-space, spline wavelet technique has been researched on the demand of image enhancement in comer extraction of image segmentation.The algorithm sets the threshold depending on the Multiscale Point-Wise Product,can heighten the contrast of the image,strengthen the geometric feature.Experimental results are presented to illustrate the performance of this algorithm.Through comparison ,it is proved that the algorithm can improve the correctness of comer extraction.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第15期56-58,共3页 Computer Engineering and Applications
关键词 图像增强 样条小波 多尺度点积 角点提取 image enhancement,spline wavelet,muhiscale point-wise product,comer extraction
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参考文献6

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共引文献56

同被引文献20

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