安徽大学学报（自然科学版）2013，Vol.37Issue(1)：50-54,5.DOI:10.3969/j.issn.1000-2162.2013.01.010
一种基于简化PCNN的色盲检测图分割方法
A segmentation method of color blindness detection image based on simplified PCNN
摘要
Abstract
On the basis of the color blindness detection images and pulse coupled neural network (PCNN) , a segmentation method of color blindness detection image based on simplified PCNN was proposed. In this proposed method, the chromatic aberration was computed by Euclidean distance, the color similar to red was replaced with white by setting an appropriate threshold, then the target and background of image were preliminary separated, and the red component after pretreatment was segmented via using the typical simplified PCNN model, and finally the segmentation image was optimized by morphological closing operation. The experimental results showed that the method not only could accurately segment the color blindness images but also was simple and effective.关键词
色盲检测图/RGB模型色差/脉冲耦合神经网络Key words
color blindness detection image/ the chromatic aberration of RGB model/ pulse coupled neural network分类
信息技术与安全科学引用本文复制引用
郭业才,蒋峰,龚溪..一种基于简化PCNN的色盲检测图分割方法[J].安徽大学学报（自然科学版）,2013,37(1):50-54,5.基金项目
全国优秀博士学位论文作者专项基金资助项目(200753) （200753）
江苏省高校科研成果产业化推进工程资助项目(JHB2012-9) （JHB2012-9）
国家级大学生创新创业训练计划资助项目(201210300010) （201210300010）
