一种改进的模糊索贝尔边缘检测器

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI:10.1109/NRSC.2000.838961

S. El-Khamy, M. Lotfy, N. El-Yamany

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引用次数: 69

摘要

提出了一种改进的模糊索贝尔边缘检测与增强方法。该方法是对Kuo, Lee和Liu提出的模糊Sobel方法的改进(参见IEEE Conference on fuzzy Systems, p.1069-74, 1997)。该方法克服了传统梯度边缘检测方法如Prewitt和Sobel方法的不足。该算法自动获取四个阈值，并应用模糊推理进行边缘增强。该方法提取的边缘非常清晰，能够更好地表示图像边缘和物体轮廓。

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A modified fuzzy Sobel edge detector

A modified fuzzy Sobel method for edge detection and enhancement is proposed. This method is a modification of the fuzzy Sobel method proposed by Kuo, Lee and Liu see (IEEE Conference on Fuzzy Systems, p.1069-74, 1997). The proposed method overcomes the drawbacks of the conventional gradient methods for edge detection such as Prewitt and Sobel methods. It automatically obtains four threshold values, and apply fuzzy reasoning for edge enhancement. The edges extracted by this method are very clear and provides better representation for image edges and object contours.

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来源期刊

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)

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