Adaptive Edge Detection in a Global Optimal Observation Scale

摘要：

We propose an adaptive edge detection algorithm for LOG operator based on a biological perspective solving the problem of parameter setting. The algorithm can survive in different kinds of images with different imaging qualities. We introduce the concept of Global Optimal Observation Scale that the best scale parameter for LOG lie at the global observation location in scale space. Experimental results demonstrate strong capacity of the algorithm.

关键词： edge detection segmentation LOG multiscale adaptive global optimal.

作者: Zheng Zhenzhu Zhang Tianxu

作者单位: Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science andTech Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Tec

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-4

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）