Multi-scale Fourier Descriptor with Phase Information for Image Retrieval
Fourier descriptor is an important method used in shape analysis and recognition. It mainly does Discrete Fourier Transformation (DFT) with the shape signature of the points on the edge of the object and normalizes to get Fourier descriptor with no phase information. In this paper, we combine the Wavelet transformation and Fourier transformation to get multi-scale Fourier descriptor with phase information and use Dynamic Time Warping (DTW) distance to compare shape similarity. The experiments show the new descriptor is more efficient than the traditional Fourier descriptor in image retrieval.
Fourier descriptor shape signature wavelet transformation multi-scale dynamic time warping image retrieval
Lele Zhao Bing Wang Huazhong Shu
School of Biological Science and Medical Engineering Southeast University Nanjing, China Laboratory of Image Science and Technology Southeast University Nanjing, China
国际会议
2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)
成都
英文
624-627
2011-01-14（万方平台首次上网日期，不代表论文的发表时间）