ABSTRACT
Acne is a chronic skin disease occurring from inflammation of pilosebaceous units which are hair follicles under skin and their surrounding sebaceous gland (fatty gland) clog up. Currently, dermatologist has to manually mark a location of acnes on the sheet, then count to quantify and measure treatment progress. This is an unreliable and inaccurate method. Moreover, this method requires dermatologist’s excessive effort. In this project, a novel automatic acne disease detection using Image processing technique is proposed. Acne causes significant physical and psychological problems for patients such as permanent scarring, depression and anxiety from poor self-image. When you have acnes, go to see dermatologist early is the safest way to heal and prevent future permanent scars. Acne can be caused by many factors such as overactive oil glands that produce too much oil, combine with skin cells to make pores in the skin, become plugged and p-acne bacteria cause acne disease. This project is developed in python using convolutional neural network.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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