Image Recognition by Combined Affine and Blur Tchebichef Moment Invariants
Affine moment invariants are widely used in pattern recognition, most of the existing affine moment invariants are based on geometric central moments or continuous orthogonal moments. This paper proposes an approach to construct a set of discrete Tchebichef moment invariants which are simultaneously invariant to affine transformation and to convolution with circularly symmetric point spread function. Some important properties of proposed invariants are presented and proved. These invariants are used for image recognition. The experimental results show that the proposed method has better performance in pattern recognition compared to existing method.
Qian Li Hongqing Zhu Qian Liu
Department of Electronics and Communications Engineering East China University of Science and Technology Shanghai 200237, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1538-1542
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）