| 基于小波变换的图像边缘检测技术的改进 |
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| 引用本文： | 周洪成.基于小波变换的图像边缘检测技术的改进[J].金陵科技学院学报,2009,25(2):31-35. |
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| 作者姓名： | 周洪成 |
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| 作者单位： | 金陵科技学院信息技术学院,江苏,南京,211169 |
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| 摘 要： | 边缘检测是图像处理的主要内容之一.由于存在噪声,经典算法的图像边缘检测效果不好,针对其缺陷,应用小波变换对图像边缘进行检测,能得到较好的边缘,但是去掉了一些模糊的、弱的边缘.因此,采用自适应阈值的改进型小波边缘检测算法,在消噪的同时,可以很好地保留微弱的边缘.通过实验结果的比较,证明了这种方法的有效性.
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| 关 键 词： | 经典算法 小波变换 边缘检测 图像处理 |
The Improvement in Image Edge Detection Based on Wavelet Transformation |
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| ZHOU Hong-cheng.The Improvement in Image Edge Detection Based on Wavelet Transformation[J].Journal of Jinling Institute of Technology,2009,25(2):31-35. |
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| Authors: | ZHOU Hong-cheng |
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| Institution: | Jinling Institute of Technology;Nanjing 211169;China |
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| Abstract: | Edge detection is one of the most elementary techniques in the image processing.Due to noise,the effect of the edge detection with the classic method is bad.The image edge detection of wavelet transformation is applied,thus good edge can be got,but weak edge is lost.So the adaptive threshold image edge detection based on the improved wavelet transformation is presented,which can de-noise and retain a weak edge as well.The result shows that the way is effective. |
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| Keywords: | the classic method wavelet transformation edge detection image processing |
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