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中国物理学会期刊

多信息融合的模糊边缘检测技术

CSTR: 32037.14.aps.55.3223

Fuzzy edge detection technique using multi-information fusion algorithm

CSTR: 32037.14.aps.55.3223
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  • 提出了一种有效的模糊边缘检测算法,与传统的单纯基于图像增强技术的模糊边缘检测算法不同,此算法采用像素点的多种信息作为边缘检测的特征信息,利用模糊逻辑对这些信息进行综合,使边缘检测器输出的边缘信息更加完善且有效.实验表明,对于处理实际工作环境中的高噪图像的边缘检测问题,此算法是一种实用而有效的方法.

     

    An effective fuzzy edge detection algorithm is proposed in this paper. This novel algorithm is different from other fuzzy edge detection algorithms based purely on image enhancement technology. Several kinds of information are used as the characteristics of edge detection, and fuzzy logic is used to fuse the information together. So, the edge detecting process is more effective and gives much better edge information. It is proved that this algorithm is applicable to detect the edge of highly-noisy images.

     

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