Image Recognition by Combined Invariants of Legendre Moment

摘要：

The moment invariants are usually efficient tools in image processing, pattern recognition and computer vision, especially when images to be processed are degraded by combined blur and affine transformation. However, most of the existing combined moment invariants are based on nonorthogonal moments, which can result in the information redundancy and become sensitive to noise. Due to the better performance of orthogonal moment, this paper presents a new set of orthogonal Legendre moments affine invariants and then constructs Legendre combined invariants with respect to blur and affine transformation by combining blur invariants and affine invariants. The experimental results are provided in order to validate the method and to compare its performance with other combined invariants.

关键词： Combined invariants Legendre moment image recognition

作者: Xiubin Dai Hui Zhang Huazhong Shu Limin Luo

作者单位: Department of Computer Science and Engineering Southeast University 210096 Nanjing,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）