Automatic acne detection system for medical treatment progress report

Beauty industry has become one of the largest growth industries. The most famous service for beauty clinic is acne treatment. The first process of acne treatment is acne counting and classification which is manually done by dermatologist. In this paper, an automatic acne detection system was proposed and developed as an acne detection device. The system acquired facial image of the patient via web camera then converted the image into suitable color model. The system recognized and extracted patient's face using Haar Cascade classifier and marked as the Region of Interest (ROI). Background was removed using GrabCut and only patient's face was extracted. Then, the system visualized patient face through Heat mapping and did Adaptive Thresholding. Finally, the system did BLOB detection and marked each BLOB on the image using box shape.