Hair Count Using Image Processing
Divyanshu Jain 1, Aditya Waghmare 2, Prof. Ajitkumar Khachane 3
1Student, Information Technology, Vidyalankar Institute of Technology
2Student, Information Technology, Vidyalankar Institute of Technology
3Professor, Information Technology, Vidyalankar Institute of Technology
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Abstract - Trichology is the study of the hair and scalp in detail[1]. Trichology is subdivided into two parts Trichogram and Trichoscopy, we in our study focus on Trichoscopy(this procedure doesn’t involve hair trimming, while Trichogram involves hair trimming). The Trichoscopy procedure used in this study is to diagnose various scalp illnesses such as telogen-effluvium and alopecia by analyzing microscopic images of the hair and scalp. The analysis of the photos gives us informative metrics, including hair density, count, length, and thickness. Image processing is employed in the development of trichoscopy, which is specifically used to detect conditions on the scalp. We have built a system that assists in extracting these features and generates a report that shows the hair count. With a dermatoscope, the practitioner can use the technology to capture an image while on the go or upload one. Following the recording of the image, it is enhanced using a number of techniques including morphological modifications, gray scaling, sharpening, denoising, blurring, and resizing. Finally, a thorough report is sent to the expert following the study and is concurrently saved in the dataset. From the viewpoints of the doctor and the patient, hair count is the most important metric because it directly reflects how well the treatment works. The hair count obtained from this economical technology will help the practitioner identify the illness and conduct appropriate preventative and curative action.
Key Words: Trichoscopy, Trichogram, Medical Image Analysis, Image Processing
