Efficient evaluations of edge connectivity and width uniformity

被引:45
作者
Zhu, QM
机构
[1] Computer Vision Laboratory, Department of Computer Science, University of Nebraska at Omaha, Omaha
关键词
edge connectivity; width uniformity; edge quality;
D O I
10.1016/0262-8856(95)01036-X
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present three simple and efficient methods for the evaluation of edge connectivity and width uniformity in the images processed by certain edge detection and/or edge linking operations. Quantitative measurements of the edge merits are derived first from an analysis of the edge and pixel patterns in the images, and then extended to two more simplified forms. The main purpose of the evaluation methods is to provide an objective assessment of the qualities of the edge images in terms of their easiness to the successive image processing and vision tasks. The evaluation methods are moderate in terms of the accuracy and sensitivity of the measurements as well as the computational complexity of the related algorithms. No prior knowledge about the true edge positions is needed for deriving the measurement values. The evaluation methods are therefore applicable to the real edge images in practical applications, not only to the synthetic testing images.
引用
收藏
页码:21 / 34
页数:14
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