Feather quill crease recognition based on local Radon transform
YUE Hongwei1,2,WANG Renhuang1,ZHANG Jinghua1
1. Faculty of Automation, Guangdong University of Technology, Guangzhou Guangdong 510006, China
2. Information College, Zhongkai University of Agriculture and Engineering, Guangzhou Guangdong 510225, China
Abstract：Concerning the recognition of feather quill crease feature, a new feature extraction method was proposed. In order to solve the scaling and translation sensitivity of Radon transform, an improved Radon transform was used to extract moment invariants of target region and local projection technology was adopted to eliminate interference physiological texture of feather quill. Obtaining invariants matrix by changing the scale factor, Singular Value Decomposition (SVD) was provided here to obtain feature invariant for classification and recognition. The results show that this suggested method has higher robustness and higher recognition rate compared with other algorithms.
2013, Vol. 33 
