Image Feature Analysis and Dynamic Measurement of Plantar Pressure Based on Fusion Feature Extraction
Author:
Zou Ji,Zhang Chao,Ma Zhongjing,Yu Lei,Sun Kaiwen,Liu Tengfei
Abstract
Footprint recognition and parameter measurement are widely used in fields like medicine, sports, and criminal investigation. Some results have been achieved in the analysis of plantar pressure image features based on image processing. But the common algorithms of image feature extraction often depend on computer processing power and massive datasets. Focusing on the auxiliary diagnosis and treatment of foot rehabilitation of foot laceration patients, this paper explores the image feature analysis and dynamic measurement of plantar pressure based on fusion feature extraction. Firstly, the authors detailed the idea of extracting image features with a fusion algorithm, which integrates wavelet transform and histogram of oriented gradients (HOG) descriptor. Next, the plantar parameters were calculated based on plantar pressure images, and the measurement steps of plantar parameters were given. Finally, the feature extraction effect of the proposed algorithm was verified, and the measured results on plantar parameters were obtained through experiments.
Funder
Project of Changchun Bureau of Science and Technology
Jilin Provincial National Development and Reform Commission in 2020
Innovation Team Project of Jilin Provincial Department of Science and Technology in 2021
Jilin Provincial Bureau of Science and Technology
Publisher
International Information and Engineering Technology Association
Subject
Electrical and Electronic Engineering