SKIN DISEASE (HERPES, PSORIASIS AND DERMATITIS) IDENTIFICATION USING DIP

It is a very huge process to predict a disease based on the visual diagnosis of cell type with accuracy especially when multiple features are associated. If we get the information about the dead skin which is not visible by bare eyes. One of the major problems coming in the medical field is that doctors are not able to detect that infected part which is not visible by bare eyes and therefore they only operate the visible infected part of the skin and this may cause a major problem like hazardous disease in the future. Skin disease classification system is developed and the relationship of the skin disease image across different type of neural network is established. The collected medical images are feed into the system, and using different image processing schemes image properties are enhanced. Useful information can be take out from these medical images and pass to the classification system for training and testing using PYCHARM image processing toolbox for detection of dead skin.