| 小波提升变换边缘检测算法的DSP实现 |
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| 引用本文： | 卢佩,沈鸿章,王成哲. 小波提升变换边缘检测算法的DSP实现[J]. 自动化与仪表, 2008, 23(3): 41-43 |
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| 作者姓名： | 卢佩 沈鸿章 王成哲 |
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| 作者单位： | 天津科技大学,电子信息与自动化学院,天津,300222 |
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| 摘 要： | 提出了基于小波提升变换的改进图像边缘检测算法的DSP实现过程。本算法对源图像进行小波提升分解,然后分别对高、低频子图像进行边缘提取;基于高速DSP的实现克服了传统小波变换存在的问题,很好地满足了实时性要求。实验结果表明,该方法具有运算速度快、能有效地抑制噪声、边缘检测精度高等特点,是一种有效的图像边缘检测实现方式。
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| 关 键 词： | 小波提升变换 边缘检测 数字信号处理 |
| 文章编号： | 1001-9944(2008)03-0041-03 |
| 修稿时间： | 2007-06-25 |
Implementation on DSP About Edge Detection Algorithm of Wavelet Lifting Transform |
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| LU Pei,SHEN Hong-zhang,WANG Cheng-zhe. Implementation on DSP About Edge Detection Algorithm of Wavelet Lifting Transform[J]. Automation and Instrumentation, 2008, 23(3): 41-43 |
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| Authors: | LU Pei SHEN Hong-zhang WANG Cheng-zhe |
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| Abstract: | A process based on DSP and wavelet lifting transform is proposed for improving image edge detection.It should be carried out the way,and the source image is decomposed by wavelet lifting transformation so as to extract the edges of high-frequency and low-frequency sub-images separately;It overcomes some disadvantage of traditional wavelet transform and meets demand of real-time based on high-speed DSP.Experimental results showed that the algorithm is effective to extract image edges and has advantages of quick operation,efficient suppression of noise and high detection accuracy. |
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| Keywords: | wavelet lifting transformation edge detection digital signal process(DSP) |
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