基于眼底图像不同彩色通道的出血特征提取

doi:10.11772/j.issn.1001-9081.2016.10.2890

计算机应用 ›› 2016, Vol. 36 ›› Issue (10): 2890-2894.DOI: 10.11772/j.issn.1001-9081.2016.10.2890

基于眼底图像不同彩色通道的出血特征提取

倪森, 付冬梅, 丁邺

北京科技大学自动化学院, 北京 100083

收稿日期:2016-02-26 修回日期:2016-05-07 发布日期:2016-10-10
通讯作者: 付冬梅,E-mail:fdm_ustb@ustb.edu.cn
作者简介:倪森(1991—),男,山西大同人,硕士研究生,主要研究方向:图像处理、模式识别;付冬梅(1963—),女,北京人,教授,博士,主要研究方向:红外图像、人工免疫计算、智能数据分析;丁邺(1992—),男,江苏常州人,硕士研究生,主要研究方向:图像处理。
基金资助:
国家自然科学基金资助项目（61272358）。

Hemorrhagic feature extraction based on different color channels in fundus images

NI Sen, FU Dongmei, DING Ye

School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received:2016-02-26 Revised:2016-05-07 Published:2016-10-10
Supported by:
BackgroundThis work is partially supported by the National Natural Science Foundation of China (61272358).

摘要/Abstract

摘要： 针对眼底出血图像中出血形态各异、干扰目标多的特性，为提高出血检测精度，同时降低非出血目标引起的干扰，提出了一种基于眼底图像三个彩色通道的出血特征提取方法。该方法利用眼底出血图像在不同彩色通道的表现特性，统计和分析相关性状的像素值特性，并依据出血部分的统计特性设定提取阈值提取出血；使用多尺度顶帽变换和血管密度特征定位血管和黄斑；最后利用不用图像间的逻辑关系针对性去除血管、黄斑干扰，实现了出血区域的自动提取和干扰目标的排除。仿真结果表明，所提方法能够相对完整和准确地提取眼底图像出血目标，且时间效率高。

关键词: 眼底出血, 目标提取, 彩色通道, 阈值算法, 顶帽变换

Abstract: The characteristics in fundus hemorrhage images are varying hemorrhage shapes and multiple interferences. Specific to these characteristics, a method based on three color channels in fundus hemorrhage images was proposed to improve the extraction accuracy of the hemorrhage areas and reduce the interferences caused by non-bleeding ones. Firstly, the relevant features of pixels in different color channels were analyzed by the statistical properties of the hemorrhage areas, and the extracting threshold was set in the method. Then, multi-scale top-hat transformation and vascular density feature were applied to locate vessels and macular for removing these disturbances. Finally, the logical relations of the hemorrhage, vessels and macular were computed to extract the hemorrhage areas while removing the interferences of vessels and macular. The proposed method realizes the automatic extraction of hemorrhagic areas and the simulation results show that the method can ensure the extraction accuracy with a high computational efficiency.

Key words: fundus hemorrhage, target extraction, color channel, threshold algorithm, top-hat transform

中图分类号:

TP391.41

倪森, 付冬梅, 丁邺. 基于眼底图像不同彩色通道的出血特征提取[J]. 计算机应用, 2016, 36(10): 2890-2894.

NI Sen, FU Dongmei, DING Ye. Hemorrhagic feature extraction based on different color channels in fundus images[J]. Journal of Computer Applications, 2016, 36(10): 2890-2894.

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基于眼底图像不同彩色通道的出血特征提取

Hemorrhagic feature extraction based on different color channels in fundus images

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