“TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing

Abstract

The thorough study of hair and scalp falls under trichology. This study is performed using techniques like trichogram and Trichoscopy, which involve evaluating microscopic images taken of the hair and scalp and diagnosing the different scalp diseases like alopecia and telogen effluvium. The evaluation of the images supplies us with various informative parameters such as hair length, hair thickness, number, and density of vellus and terminal hair, and white spots. Trichogram, that is particularly used for detecting scalp conditions, is developed using image processing, and we have created a system that helps extract these features and generate a report displaying those parameters as well as comparing previously produced reports. The system allows the professional to upload an image or take an image on the go, using a dermatoscope. After receiving the image recorded, the image passes through several enhancement techniques such as resizing, sharpening, denoising, blurring, gray scaling, binarization, and morphological changes. Different methods are further applied to the enhanced image to analyze various parameters. Lastly after the analysis, a comprehensive report is provided to the professional and simultaneously stored in the dataset. The features derived from this cost-effective system will assist the practitioner to diagnose the disease and take productive measures to prevent and cure it effectively. The comparison provided gives the ability to successively monitor the condition and conclude the necessary. Image processing, which is the foundation of the entire system, is effectively applied to get the desired results.