基于字典学习的舌诊图像去噪研究OA

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.