Observation Model Based Retinal Fundus Image Normalization and Enhancement

摘要：

Based on an observation model, a method to normalize non-uniformly luminosity and contrast present in retinal funds images is proposed. By sub-sampling and interpolation techniques, the background of the retinal images can be estimated. On this basis, the details of the image will be enhanced by singular value processing and homomorphic filtering techniques. Experiment results show that this method can effectively achieve non-uniform illumination and contrast normalization and image contrast enhancement, which meet the requirements of retinal image preprocessing. Moreover, subjective visual observation and objective evaluation test show that this method is significantly better than many other similar methods.

关键词： background estimation homomorphic filter retinal fundus image normalization

作者: Yao Yi Dongbo Zhang

作者单位: Colledge of Information Engineering Xiantan University Xiangtan, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 734-738

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）