| 小波多尺度模糊竞争边缘检测 |
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| 引用本文： | 尚晋,施成湘.小波多尺度模糊竞争边缘检测[J].计算机科学,2005,32(7):182-184. |
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| 作者姓名： | 尚晋 施成湘 |
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| 作者单位： | 重庆电子职业技术学院计算机二系,重庆,400021;重庆大学数理学院,重庆,400044 |
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| 摘 要： | 本文提出了一种小波多尺度模糊竞争边缘检测方法(WFCE)。凭借小波多尺度理论去噪和准确定位的优势，算法有效地利用了多尺度的滤波以及模糊竞争分类法则，较好地保留了图像的细节部分，提高了抗噪性。实验结果表明，与传统的边缘提取算法和模糊竞争算法相比，小波多尺度模糊竞争边缘检测方法(WFCE)能得到更满意的效果，尤其在抗噪性能上的结果是相当的理想。
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| 关 键 词： | 小波变换 多尺度 模糊竞争法则 边缘检测 |
Wavelet Multi-scale Fuzzy Competitive Edge Detection |
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| SHANG Jin,SHI Cheng-Xiang.Wavelet Multi-scale Fuzzy Competitive Edge Detection[J].Computer Science,2005,32(7):182-184. |
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| Authors: | SHANG Jin SHI Cheng-Xiang |
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| Affiliation: | SHANG Jin,SHI Cheng-Xiang The Second Department of Computer,Chongqing Electronic Profession College,Chongqing 400021 Department of Mathematics & Physics,Chongqing University,Chongqing 400044 |
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| Abstract: | This paper proposes a new Wavelet Multi-scale Fuzzy Competitive Edge Detection algorithm (WFCE). Based on the advantages of Iess noise and pinpoint in the multi-scale field, the novel algorithm applies multi-scale fil- ter and competitive fuzzy rules to edge detection effectively, holds the image details and improves the noise proof fea- ture. Compared with traditional edges and competitive fuzzy edge detection, WFCE achieves better results, especially on the noise proof feature facet. |
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| Keywords: | Wavelet transforms Multi-scale Fuzzy competitive rules Edge detection |
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