Rotation-invariant Tezture Analysis Using Radon and Fourier Transforms

摘要：

Texture analysis is a basic issue in image processing and computer vision, and how to attain the Rotationinvariant texture characterization is a key problem. This paper proposes a rotation-invariant texture analysis technique using Radon and Fourier transform. This method uses Radon transform to convert rotation to translation, then utilizes the Fourier transform and takes the modules of the Fourier transform of these functions to make the translation invariant. a k-nearest-neighbor rule is employed to classify textures images. The proposed method is robust to additive white noise as a result of summing pixel values to generate projections in the Radon transforM step. To test and evaluate the method, several different kinds of experiments are employed. Experiments results show the feasibility of the proposed method and its robustness to additive white noise.

关键词： Tezture analysis rotation invariant Radon transform Fourier transform

作者: Song-Shan XIAO Yong-Xing WU

作者单位: College of Precision Instruments and Opto-Electronics Engineering,Tianjin University, Tianjin 300072, China

会议类型: 国际会议

会议名称: 第四届仪器科学与技术国际会议( 4th International Symposium on Instrumentation and Science and Tcchnology)

会议地点: 哈尔滨

会议语种:英文

页码: 1459-1464

在线出版日期: 2006-08-08（万方平台首次上网日期，不代表论文的发表时间）