Image Processing Technology in the Palm Diagnosis in Traditional Chinese Medicine

Abstract

In recent years, palm print identification technology has been widely carried out and used in fields such as identity recognition. At the same time, some features of palm vividly reveal information about diseases and health condition of the human body. We can research the application of palm diagnosis in traditional Chinese medicine with the help of digital image processing technology. In the palm diagnosis, palm print features and color features of visceral reflex regions are very important pathological features. Specific palm prints and color change of different reflex regions indicate different diseases. We want to take advantage of digital image processing technology to process palm images, in order to locate and segment the visceral reflex regions and extract certain palm print and color information, helping herbalist doctors diagnose diseases with palm diagnosis theory. This dissertation mainly focuses on approaches and methods of palm image pre-processing, prepared for further research and achieved certain results. The main work we have done is summarized as follows: Research on image acquisition conditions, median filtering, image binaryzation, binary image optimization, palm extraction, palm edge extraction and corner detection.