An Object Classifying and Recognition Method Based on Infrared Features

摘要：

A new method for extracting feature vector from infrared objects based on 9 IR features is proposed. The classifying and recognition of IR objects is studied using neighborhood method. Experiments on three IR images used on airplanes are performed and the test results show that the proposed method is satisfactory.

关键词： Image partition Feature eztraction Classifying and recognition Neighborhood method

作者: YaoYi He Peng Yu Guangjun Zhang Zibin

作者单位: Mechanical Engineering College, Shijiazhuang, Hebei, China, 050003

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 709-711

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）