Zhou Lan, Liu Yan, Liu Liang, Zhuo Luo, Liang Man, Yang Fan, Ren Liang, Zhu Shaohua
Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
J Huazhong Univ Sci Technolog Med Sci. 2010 Apr;30(2):235-9. doi: 10.1007/s11596-010-0221-2. Epub 2010 Apr 21.
Corneal opacity is one of the most commonly used parameters for estimating postmortem interval (PMI). This paper proposes a new method to study the relationship between changes of corneal opacity and PMI by processing and analyzing cornea images. Corneal regions were extracted from images of rabbits' eyes and described by color-based and texture-based features, which could represent the changes of cornea at different PMI. A KNN classifier was used to reveal the association of image features and PMI. The result of the classification showed that the new method was reliable and effective.
角膜混浊是估计死后间隔时间(PMI)最常用的参数之一。本文提出了一种通过处理和分析角膜图像来研究角膜混浊变化与PMI之间关系的新方法。从兔眼图像中提取角膜区域,并通过基于颜色和基于纹理的特征进行描述,这些特征可以代表不同PMI时角膜的变化。使用KNN分类器来揭示图像特征与PMI之间的关联。分类结果表明该新方法可靠且有效。