文献类型：会议论文

英文题名：A speckle reduction and characteristic enhancement algorithm to ultrasonic image based on wavelet technology

作者：Li, Yue-Qin[1]; Li, Jin-Ping[1]; Han, Lei[2]

第一作者：李月琴

通讯作者：Han, L.

机构：[1] Information College, Beijing Union University, Beijing 100101, China; [2] State Key Laboratory Explosion Science and Technology, Beijing Institute of Technology, Beijing, China

第一机构：北京联合大学智慧城市学院

会议论文集：Proceedings - 2010 International Conference on Optoelectronics and Image Processing, ICOIP 2010

会议日期：November 11, 2010 - November 12, 2010

会议地点：Haiko, China

语种：英文

外文关键词：Image denoising - Optical anisotropy - Optoelectronic devices - Speckle - Ultrasonic imaging

摘要：The inherent characteristic of ultrasonic and the application environment make ultrasonic image have some defects: image with speckle noise, edge blur and low contrast. In order to reduce the speckle noise and enhance the image characteristics, a speckle reduction and characteristic enhancement anisotropic diffusion algorithm is proposed based on the wavelet technology in this paper. The algorithm and parameters choice and algorithm realization steps had been analyzed and illuminated particularly. A compare research experiment for real ultrasonic image has been done using the algorithm and other traditional methods. The experimental result indicates that the proposed algorithm has strong speckle reduction and enhancement image ability. The purpose of removing speckle noise and enhancing image characteristics at same time has been reached. ? 2010 IEEE.