Title: Adaptive hand image function region segmentation for intelligent aided diagnosis

Authors: Yang Liu; Jing Jie; Hui Zheng; Beiping Hou; Zhenglin Li

Addresses: School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Liuhe Road 318#, Hangzhou, Zhejiang, 310023, China ' School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Liuhe Road 318#, Hangzhou, Zhejiang, 310023, China ' School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Liuhe Road 318#, Hangzhou, Zhejiang, 310023, China ' School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Liuhe Road 318#, Hangzhou, Zhejiang, 310023, China ' School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Liuhe Road 318#, Hangzhou, Zhejiang, 310023, China

Abstract: Smart hand diagnosis simulates the expert knowledge of hand diagnosis in traditional Chinese medicine and makes a diagnosis through the hand image information. To ensure the correctness of the diagnosis, an adaptive hand image function region segmentation is developed. Firstly, a hand image is acquired by a mobile app and its contour is extracted by multi-threshold segmentation and edge detection after series preprocessing. Secondly, some key feature corner points in the hand contour are detected through the dynamic intersection method, and then the hand image is segmented into 14 function regions, referring to the nine palace figures of hand diagnosis, in which the feature of each region can indicate the sampled people's health status for a specific physical function. The experimental results show that the hand image function regions can be divided successfully and keep the pathological characteristics in good condition. All that prove the segmentation method has good robustness and high accuracy.

Keywords: hand diagnosis; image processing; contour extraction; corner detection; region segmentation.

DOI: 10.1504/IJCSM.2024.137833

International Journal of Computing Science and Mathematics, 2024 Vol.19 No.3, pp.256 - 273

Received: 22 Mar 2023
Accepted: 27 Jul 2023
Published online: 05 Apr 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article