Design of Body Surface Injury Area Measurement System based on the Optimized FCM Algorithm

doi:10.23940/ijpe.20.01.p14.130142

Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (1): 130-142.doi: 10.23940/ijpe.20.01.p14.130142

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Design of Body Surface Injury Area Measurement System based on the Optimized FCM Algorithm

Lu Wang^a^b, Haojie Yang^b, Lan Wu^c^*(), and Chenglin Wen^a^c^d

^aDepartment of Electrical Automation, Shanghai Maritime University, Shanghai, 201306, China
^bDepartment of Image and Network Investigation, Railway Police College, Zhengzhou, 450053, China
^cCollege of Electrical Engineering, Henan University of Technology, Zhengzhou, 450001, China
^dInstitute of Systems Science and Control Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China

Submitted on ; Revised on ; Accepted on
Contact: Lan Wu E-mail:lemonhawk@foxmail.com
Supported by:
This work is supported in part by the National Natural Science Foundation of China (No. 61806062, 61703385, 61751304, U1509203), Ministry of Public Security Technology Research Project of China (No. 2019JSYJC25), Fundamental Research Funds for the Central Universities of China (No. 2019TJJBKY012), Henan Province Educational Commission Key Scientific Research Project of China (No. 19B510008), and Program for Science & Technology Innovation Talents in Universities of Henan Province (No. 17HASTIT021).

Abstract

Abstract:

The effective and accurate area measurement of body surface injury regions is important for the appraisal work of forensic medicine of public security. Considering that most of the area measurement methods used in current forensic appraisals still have strong dependence on man-made manipulation, a fuzzy c-means (FCM)-based area measurement system for body surface injury regions is designed in this paper. Aiming at the problems of poor clustering effects and poor real-time performance of FCM in the area measurement process, a design method based on super-pixel segmentation and multi-subgroup parallel artificial fish swarm is proposed in the designed system, and on this basis, the overall process framework and system workflow are designed and given. Finally, the simulation results show that the designed system can effectively improve the segmentation quality, segmentation speed, and area measurement precision of the injury region, thus providing better effectiveness and accuracy for the appraisal work of forensic medicine.

Key words: area measurement system, body surface injury region, FCM, super-pixel segmentation, parallel artificial fish swarm

Lu Wang, Haojie Yang, Lan Wu, and Chenglin Wen. Design of Body Surface Injury Area Measurement System based on the Optimized FCM Algorithm [J]. Int J Performability Eng, 2020, 16(1): 130-142.

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Design of Body Surface Injury Area Measurement System based on the Optimized FCM Algorithm

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