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The International Journal of Lower Extremity Wounds
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Analysis of Skin Wound Images Using Digital Color Image Processing: A Preliminary Communication

Hakan Oduncu, PhD

Medical Electronics and Signal Processing Research Unit, School of Electronics, University of Glamorgan, Pontypridd, CF37 1DL, United Kingdom, hoduncu{at}glam.ac.uk

Andreas Hoppe, PhD

School of Computer Science, Kingston University, Surrey, KT1 2EE, United Kingdom

Michael Clark, PhD

Wound Healing Research Unit, University of Wales College of Medicine, Cardiff, CF14 4UJ, United Kingdom

Robert J. Williams, MPhil

Medical Electronics and Signal Processing Research Unit, School of Electronics, University of Glamorgan, Pontypridd, CF37 1DL, United Kingdom

Keith G. Harding, MB, ChB, MRCGP, FRCS

Wound Healing Research Unit, University of Wales College of Medicine, Cardiff, CF14 4UJ, United Kingdom

This article presents the use of digital image processing using hue, saturation, and intensity measurements as a technique for the color analysis of chronic wounds on the skin. An adaptive spline technique was used to segment the wound boundary in the images of venous leg ulcers. This technique was further used to approximate the position of venous leg ulcers. The amount of slough within the wound site was quantified using the software developed and was compared with a grading system based on visual inspection by an experienced clinician, and the results were compared by deriving Kappa (K) statistic. There was moderate agreement over all grades between the computer and clinician. At lower grades 1 and 2, there was excellent agreement. The results from this preliminary study suggest that this analytical technique has the potential to image process chronic skin wounds.

Key Words: color image processing • image segmentation • venous ulcers

The International Journal of Lower Extremity Wounds, Vol. 3, No. 3, 151-156 (2004)
DOI: 10.1177/1534734604268842
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