中医药信息2024，Vol.41Issue(5)：31-36,50,7.DOI:10.19656/j.cnki.1002-2406.20240506
基于GWO-BP神经网络在舌诊图像颜色校正中的应用
Application of GWO-BP Neural Network in Color Correction of Tongue Diagnosis Images
摘要
Abstract
Objective:Based on the Grey Wolf Optimization(GWO)algorithm,to optimize the tongue diagnosis image color correction algorithm of the traditional BP neural network,and to solve the problems such as the limitation of shooting environment of mobile tongue diagnosis APP and the dependence of mobile phone devices and the poor effect of traditional algorithm used by color correction method based on mobile phone platform.Methods:Using 24-color standard color card as the standard,the tongue diagnosis images of indoor incandescent lamp under different light intensity and outdoor cloudy and sunny scenes at different times were collected.At the same time,grayscale world algorithm and traditional BP neural network algorithm were selected to compare with the proposed algorithm of this paper.The above three algorithms were used to correct the color of the acquired image,and the correction results were compared with objective and subjective color evaluation.Results:Compared with gray-scale world algorithm and BP neural network algorithm,the color correction effect of GWO-BP neural network algorithm was significantly improved.Conclusion:The GWO-BP algorithm can effectively correct the color of tongue diagnosis images taken by mobile phones,so as to improve the accuracy of color values.关键词
舌诊图像/颜色校正/灰狼优化算法/BP神经网络Key words
Tongue diagnosis images/Color calibration/Grey Wolf Optimization algorithm/BP neural network引用本文复制引用
王基实,杨珺涵,张世祺,高诗岳,高爽,杨关林,张哲..基于GWO-BP神经网络在舌诊图像颜色校正中的应用[J].中医药信息,2024,41(5):31-36,50,7.基金项目
国家中医药管理局首批青年岐黄学者支持项目(国中医药人教函[2020]218号) （国中医药人教函[2020]218号）
