Detection of diabetes using tongue image analysis

• Main Authors: Sridhar, B., Kumar, C. Ashok, Anjaneyulu, P.
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Diagnosis; Flaw detection; Image analysis; Image segmentation; Pictures; Tongue
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0113319

Tongue diagnosis is an essential part of diagnosing most illnesses, so tongue diagnosis has gained a lot of attention from experts. Tongue diagnosing is generally done by handling pictures of the tongue; however, this isn't done in Western medication. The objective of this paper is to overcome any barrier among Chinese and Western medication, just as improve the nature of division, so we proposed a consecutive strategy for preparing tongue pictures. The initial two kinds of quantitative highlights, chromatic and textural scales, are extricated from tongue pictures utilizing picture handling methods in the initial step of this system. The tongue's shape is extracted in the second shape detection process using an edge detector and an area increasing algorithm. The colour intensity extraction method is used to detect pimples and cracks in the third phase. The Level Set Algorithm produces excellent segmentation outcomes. Then the normal and abnormal tongue's mean and entropy values were compared.