A method for edge detection in gray level images, based on cellular neural networks

J. A. Hernández, F. G. Castañeda, J. Cadenas
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引用次数: 3

Abstract

Edge detection is an important preprocessing task in artificial vision systems. In this paper the utility of a recently reported CNN template for edge detection was verified over a set of black and white images. These images were obtained applying an threshold procedure to their corresponding associated gray level images. An optimal threshold value for preserving a large number of features from the original gray level input images was used. Combining the threshold and edge detection templates, a procedure to obtain edges on gray level images was implemented.
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一种基于细胞神经网络的灰度图像边缘检测方法
边缘检测是人工视觉系统中一项重要的预处理任务。本文在一组黑白图像上验证了最近报道的CNN模板用于边缘检测的效用。对相应的灰度图像进行阈值处理,得到这些图像。采用最优阈值来保留大量原始灰度输入图像的特征。结合阈值模板和边缘检测模板,实现了灰度图像的边缘提取。
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