An Application of Ant Colony Algorithm for Edge Feature Extraction in City Aerial Image for Building Recognition

摘要：

Over the years, automatic and semiautomatic extraction of building from aerial and spatial images has become an outstanding issue. This paper presents an application of Ant Colony Algorithm (ACA) for edge extraction in city aerial image for building recognition. The overall idea of this work is clustering pixels by a character complex of gray value, gradient and neighborhood of each pixel. The results of ACA will be compared with the results of Canny operator which is considered as the best edge feature extracting operator. And the comparison indicated that ACA is efficient in edge feature extraction, especially for the aerial images.

关键词： Ant colony algorithm edge feature extraction aerial image

作者: Guo Yurong Wei Zhenzhong Zhang Guangjun

作者单位: Key Laboratory of Precision Opto-mechatronics Technology,Ministry of Education,Beijing 100083 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）