The Study Of Measuring Technology For Skin Surface Condition

Skin surface is a mirror of human health condition, and that how to evaluate current condition of facial skin objectively and quantitatively has been the problem regarded by both medical and cosmetic group. In this paper, depending on available theory and literature, it studied a kind of measuring system of facial skin condition based on statistical feature analysis of image texture.Firstly, it introduced the important significance of evaluating facial skin texture objectively and quantitatively in the field of medicine and skin hairdressing, sumed up the measuring technology of skin surface condition in home and abroad at present, and researched into diversified means of statistical feature analysis of image texture, including spatial gray level co-occurrence matrix means, center square means, gray level difference statistical analysis means, traveling length means. Then it analyzed the actual physical significance of every feature in these statistical means qualitatively, and put forward to extract the features of skin texture with spatial gray level co-occurrence matrix means.Secondly, it put forward a suitable way to process the skin image by testing analysis to available image pre-processing means. Then it introduced the neural network pattern recognizing technology and its current study development status. An improved BP network arithmetic was adopted as artificial neural net pattern recognizing arithmetic after reseaching the traditional arithmetic of BP network. It compiled the programs to process skin image and to extract the feature with MATLAB soft. It designed a collection system of facial skin image based on CCD camera, image collection card and computer.In the end, it validated the validity with spatial gray level co-occurrence matrix means extracting the skin texture feature in the experiment part, and made use of the neural network tools of MATLAB soft for BP network to train and recognize. The experiment results prove that the measuring system project of facial skin condition based on statistical feature analysis of image is feasible and the academic analysis is correct.