基于优化FCM算法的法医学人体损伤面积测算技术研究

杨浩杰; 刘刚

doi:10.3969/j.issn.2096-1553.2018.01.011

January 2018

Article Contents

YANG Haojie and LIU Gang. Research of human body injury area measurement technology in forensic medicine based on the optimization of FCM algorithm[J]. Journal of Light Industry, 2018, 33(1): 88-95. doi: 10.3969/j.issn.2096-1553.2018.01.011

Citation: YANG Haojie and LIU Gang. Research of human body injury area measurement technology in forensic medicine based on the optimization of FCM algorithm[J]. Journal of Light Industry, 2018, 33(1): 88-95. doi: 10.3969/j.issn.2096-1553.2018.01.011 shu

Research of human body injury area measurement technology in forensic medicine based on the optimization of FCM algorithm

YANG Haojie ¹ ,
LIU Gang ²

Experiment and Network Information Center, Railway Police College, Zhengzhou 450053, China;
Higher Education Admission Office of He'nan Province, Zhengzhou 450046, China

Received Date: 2017-05-27

Abstract

In view of the defects of traditional forensic human body injury area measurement method such as long time consuming and poor clustering effect and so on,an image segmentation algorithm named SLIC-AFSA-FCM was proposed based on the optimized fuzzy C-means (FCM) algorithm to measure the forensic human body injury area.The algorithm used super-pixel technology to reduce the pixel sample size of the image to be processed,preprocessed the pixel sample set using a multi-subgroup parallel artificial fish swarm algorithm (MSSP_AFSA) to calculates the optimal image segmentation initial cluster center,and used the FCM algorithm to perform image segmentation of cluster classification.The experimental results showed that the improved algorithm could greatly improve the speed and area estimation accuracy of human body injury images compared with K-means and FCM algorithms.
- human body injury area,
- image segmentation,
- fuzzy C-means,
- artificial fish swarm algorithm(AFSA),
- superpixel
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沈阳化工大学材料科学与工程学院沈阳 110142

Research of human body injury area measurement technology in forensic medicine based on the optimization of FCM algorithm

Abstract

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通讯作者: 陈斌, bchen63@163.com