东南大学学报（自然科学版）2011，Vol.41Issue(1)：52-57,6.DOI:10.3969/j.issn.1001-0505.2011.01.011
基于正交矩模糊和仿射混合不变量的图像识别算法
Image recognition algorithm based on combined blur and affine invariants of legendre moment
摘要
Abstract
To recognize the images distorted by combined blur and affine transformation, a new image recognition algorithm based on combined blur and affine invariants of orthogonal moment is proposed. In this algorithm, the normalization method is used to construct affine invariants of orthogonal Legendre moment. The combined blur and affine moment invariants of orthogonal Legendre moment is proposed with the help of the blur invariants. Then the new combined invariants, the Euclidean norm and nearest neighbor rules are taken as the descriptors, the measurement of classification and classifier respectively to recognize the image. The experimental results show that compared with the non-orthogonal moment invariants, the combined blur and affine invariants of orthogonal Legendre moment can achieve better invariance, less redundant information and better robustness to noise. Furthermore, this algorithm can obtain higher recognition rates, especially when the images are heavily corrupted by noise.关键词
模糊和仿射形变图像识别/图像矩模糊和仿射混合不变量/Legendre正交矩Key words
recognition of blurred and affinely transformed image/ combined blur and affine moment invariant/ orthogonal Legendre moment分类
信息技术与安全科学引用本文复制引用
戴修斌,张辉,舒华忠,罗立民..基于正交矩模糊和仿射混合不变量的图像识别算法[J].东南大学学报（自然科学版）,2011,41(1):52-57,6.基金项目
国家重点基础研究发展计划(973计划)资助项目(2010CB732503)、中国博士后科学基金资助项目(20100471360). （973计划）
