Research of human body injury area measurement technology in forensic medicine based on the optimization of FCM algorithm
YANG Haojie
LIU Gang
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.
Keywords：human body injury areaimage segmentationfuzzy C-meansartificial fish swarm algorithm (AFSA)superpixel
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 88-95 )