一种基于对比度增强的边缘检测方法

2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI:10.1109/FBIE.2009.5405865

Zhijie Li, Yongkui Liu, Jian Yun, Fei-xue Huang

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引用次数: 1

摘要

本文提出了一种不使用模板算子的基于邻域对比度的边缘检测方法(CEED(Contrast Enhancement edge detection))。建立了用于对比度增强的边缘检测帧，并给出了相应的算法。在定义对比度评价函数和边缘结构候选集后，生成原始图像的对比度矩阵，其中每个元素值度量属于边缘的程度。实验结果表明，CEED方法对不规则边缘的检测是有效的。

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A new edge detection method based on contrast enhancement

A new edge detection method (CEED(Contrast Enhancement Edge Detection)) using neighborhood contrast is proposed in this paper, which does not utilize template operator. The edge detection frame for contrast enhancement is established and the corresponding algorithm is given. After defining the contrast evaluation function and edge structure candidate set, the contrast matrix of original image is produced, where each element value measures the degree of belonging to edge. Experimental results show that the CEED method is efficient, especially for irregular edge detection.

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来源期刊

2009 International Conference on Future BioMedical Information Engineering (FBIE)

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