Image Analysis by Discrete Radial Bi-Tchebichef Moments
The feature extracted by the rotation invariants of radial Tchebichef moments could make the image analysis more effectively. However, the classical method adopted integral point sampling which has defects of too many sampling points in the centre of unit circle and insufficient samplings on the edge of the circle. It reduces the efficiency of feature extraction. In order to resolve this problem, we adopt Mukundans square-to-circular transformation to project square image to circle grids. By making the discrete radial Tchebichef polynomials orthogonal in radial direction to the discrete radial Tchebichef polynomials orthogonal in circumferential direction, a kind of new discrete radial Bi-Tchebichef moments can be constructed. The experimental results show that the suggested method is better than Mukundans method as the size of image is large.
Discrete Radial Tchebichef Moments Tchebichef polynomials Error PSNR
Li Luo Bo Li Li Li Bo Fu Guojun Zhang Xi Zheng
Hubei University of Technology, Wuhan, 430068, China Huazhong University of Science and Technology, Wuhan, 430074,China
国际会议
长沙
英文
1539-1542
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）