Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing

January 2024 in “ Lecture notes in networks and systems ”

Aditya Waghmare, Mohammed Siddique Khot, S. S. Kakde, P. Masurkar, Divyanshu Jain, Rahul Pawar, Unnati Gohil, Dhananjay Patel, Pradeep M. Patil

alopecia telogen effluvium dermatoscope vellus hair terminal hair scalp diseases hair length hair thickness hair density white spots

Studysummary In this study, a system was developed utilizing advanced image processing to analyze hair and scalp conditions, aiding professionals in diagnosing diseases like alopecia and monitoring treatment by extracting and comparing key parameters from microscopic images.

Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer

The study discusses a system called "TRICHOASSIST" that uses image processing to analyze hair and scalp features, aiding in the diagnosis of scalp diseases like alopecia and telogen effluvium. The system allows professionals to upload or take images of the scalp using a dermatoscope. These images are then enhanced through various techniques such as resizing, sharpening, denoising, blurring, gray scaling, binarization, and morphological changes. The enhanced image is then analyzed to extract parameters like hair length, hair thickness, number, and density of vellus and terminal hair, and white spots. The system generates a comprehensive report of these parameters, which can be compared with previous reports to monitor the condition over time. This cost-effective system can assist practitioners in diagnosing diseases and taking effective preventive and curative measures.

View this study on link.springer.com →

Discuss this study in the Community →

Research cited in this study

5 / 5 results

research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue

10 citations , September 2020 in “Computational and Mathematical Methods in Medicine”

This paper introduces an algorithm for using smart device-mounted microscopes to analyze scalp images and diagnose hair loss by extracting specific hair loss features.

research Trichoscopy and Trichogram: Diagnostic Methods for Hair and Scalp Disorders

May 2017 in “InTech eBooks”

This article describes various hair and scalp examination techniques, including noninvasive, semi-invasive, and invasive methods, noting that trichoscopy is a simple, well-accepted, noninvasive technique for evaluating hair loss patients and monitoring treatment.

research Trichoscopy

42 citations , October 2012 in “Dermatologic Clinics”

This article reviews the use of trichoscopy for diagnosing common hair and scalp diseases and introduces a new classification for specific skin surface abnormalities, without presenting new clinical results.

research Hair Evaluation Methods: Merits and Demerits

91 citations , January 2009 in “International Journal of Trichology”

This review discusses the advantages and limitations of various hair loss evaluation methods but reports no new results; it emphasizes the importance of cautious interpretation for these diagnostic tools.

research TrichoScan: A Novel Tool for the Analysis of Hair Growth In Vivo

70 citations , June 2003 in “Journal of Investigative Dermatology Symposium Proceedings”

This study reports that the TrichoScan method effectively measures hair growth parameters and detected significant improvements in hair counts and thickness in men with androgenetic alopecia after finasteride treatment.