中医药信息2024，Vol.41Issue(1)：1-5,5.DOI:10.19656/j.cnki.1002-2406.20240101
基于字典学习的舌诊图像去噪研究
Research on Tongue Diagnosis Image Denoising Method Based on Dictionary Learning
摘要
Abstract
Along with the rise of the wave of combining artificial intelligence and Chinese medicine,there are more and more products of combining the two.The process of objective tongue diagnosis requires high-quality tongue images,including color,texture and morphology.At the present stage,tongue diagnosis image acquisition relies too much on professional equipment.Nowadays,with the increasingly clear cameras of ordinary smart phones,tongue diagnosis images that meet the clinical diagnostic standards of traditional Chinese medicine can be obtained through a certain image denoising process.Therefore,this paper proposes a study on the denoising of TCM tongue diagnosis images based on discriminative k-singular value decomposition(DKSVD)to minimize the influence of subjective judgments and objective influence,to assist physicians in making accurate judgments about diseases,to help them make targeted treatments for diseases,and to make the promotion and dissemination of tongue diagnosis more convenient.关键词
舌诊图像/字典学习/图像去噪Key words
Tongue diagnosis image/Dictionary learning/Image denoising引用本文复制引用
刘为相,李灿,张霞,周作建,宋懿花..基于字典学习的舌诊图像去噪研究[J].中医药信息,2024,41(1):1-5,5.基金项目
国家自然科学基金项目(82205312) （82205312）
国家重点研发计划"中医药现代化研究"专项(2018YFC1704400) （2018YFC1704400）
江苏省高等学校自然科学研究面上项目(20KJB520030) （20KJB520030）
江苏高校哲学社会科学研究一般项目(2021SJA0337) （2021SJA0337）
