基于Gabor滤波和粗糙聚类的边缘检测

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI:10.1109/ICHCI-IEEE.2013.6887768

Chandranath Adak

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引用次数: 19

摘要

介绍了一种基于Gabor滤波和粗糙聚类的高效边缘检测方法。利用Gabor函数对输入图像进行平滑处理，并利用粗糙聚类的概念，采用软计算方法进行边缘检测。使用迟滞阈值来获得实际输出，即输入图像的边缘。为了证明该方法的有效性，将该方法与其他边缘检测方法进行了比较。

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Gabor filter and rough clustering based edge detection

This paper introduces an efficient edge detection method based on Gabor filter and rough clustering. The input image is smoothed by Gabor function, and the concept of rough clustering is used to focus on edge detection with soft computational approach. Hysteresis thresholding is used to get the actual output, i.e. edges of the input image. To show the effectiveness, the proposed technique is compared with some other edge detection methods.

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2013 International Conference on Human Computer Interactions (ICHCI)

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