A combinatorial edge detection algorithm on noisy images

S. Rital, A. Bretto, H. Cherifi, D. Aboutajdine
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引用次数: 29

Abstract

In this paper, we present an algorithm for edge detection in noisy images. First, an image adaptive neighborhood hypergraph (IANH) representation is computed. Next, a detection procedure based on hypergraph properties is used to classify hyperedges either as noise, edges or region. The application of this technique to noisy images has resulted in a considerable improvement in performance as compared to classical approaches.
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噪声图像的组合边缘检测算法
本文提出了一种用于噪声图像边缘检测的算法。首先,计算图像自适应邻域超图(IANH)表示。接下来,使用基于超图属性的检测过程将超边分类为噪声、边缘或区域。与经典方法相比,将该技术应用于噪声图像的性能有了相当大的提高。
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