The goal of this project is to develop technology for machine vision
based psoriasis area assessment.
The principle is to use segmentation to differentiate the psoriasis plaques from healthy skin and the
background in medical images. The final classification of the segments affected by psoriasis is carried
The CIA system is based on segmentation with the previously developed
components (HCC) analyzis. In order to calculate the percentage area of psoriasis involvement, the skin
surface area of the whole body is determined by extracting the image with the OhtaI2 color feature
and using gray level thresholding.
Photography system for psoriasis skin image application
Block diagram of the system
Image after: Ohta I2 extraction Gray level thresholding HCC segmentation
interface for final area assessment
Kontinen J. (1994) The assessment of psoriasis area with
digital image processing. Diploma thesis. University of Oulu,
Department of Electrical Engineering, Oulu.
Röning J. and Kontinen J. (1996) Measurement of the
area of involvement in skin disease. Proc. SPIE Vol. 2904
Intelligent Robots and Computer Vision XV: Algorithms, Techniques, and Materials, November 19-21, Boston,
Mass., USA, pp. 382-388.
Savolainen L., Kontinen J., Röning J. & Oikarinen A. (1997) Application of machine vision to assess involved surface in patients with psoriasis. British Journal of Dermatology 137, pp. 395-400.
Kontinen J, Savolainen L., Oikarinen A. & Röning
J. (1997) Computer image analyzing system for psoriasis area assessment.
Proc. IASTED International Conference Signal and Image Processing (SIP-97), December 4-6, New Orleans, Louisiana, 145-149.