基于灰色系统理论的图像边缘检测算法

Ying-Jian Qi, Qing Li, Zheng-peng Wu, Bin Zhang, Ying Li
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引用次数: 3

摘要

图像的边缘是重要的信息。边缘检测是特征提取、图像分析和理解的基础。边缘检测的质量决定了后续处理的效果。图像的边缘表示中断的信息。本文提出了一种基于灰色系统理论的图像边缘检测新算法。通过计算像素与其邻域和理想参考向量之间的灰度关联度,确定像素的边缘属性。进行了一些讨论和实验。结果表明,该算法是可行的,可以通过阈值的设置来调整边缘信息。
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An Algorithm of Image Edge Detection Based on Grey System Theory
The edges of an image are important information. Edge detection is the base of feature extraction, image analysis and comprehension. The quality of edge detection determines the performance of subsequent processing. The edge of an image stands for the discontinued information. We propos a new algorithm of image edge detection based on grey system theory in this paper. we calculate the relative degree of grey incidences between pixel with its neighbor and the ideal reference vector and then decide the edge property of the pixel. Some discussion and experiments are performed. The result shows that this new algorithm is applicable and we can adjust the edge information through the setting of the threshold.
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