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WorldCist'18 - 6th World Conference on Information Systems and Technologies

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Computer Aided Wound Area Detection System for Dermatological Images

Research shows that in the last decade, the focus on computer-assisted diagnoses on the skin disorders has increased significantly as a result of the improvements in skin imaging technology and the development of compatible image processing techniques. More accurate treatments provided by means of computer-assisted diagnostic systems increase the patients’ chances of recovery and survival. Image processing techniques used in these systems facilitate the detection of wound areas. In this study, a wound detection system using adaptive weighted median filter (AWMF), Otsu's thresholding, and an implementation of the Canny edge detection algorithm using the Sobel kernel, respectively, is proposed for the detection of wound areas on dermatological images. The effectiveness of the system is tested on different dermatological datasets. Obtained values are analyzed with Peak Signal to Nose Ratio (PSNR) and Correlation Coefficient (CC) metrics and it was confirmed that the system works accurately on various datasets.

Sümeyya İlkin
Kocaeli University
Turkey

Fidan Kaya Gülağız
Kocaeli University
Turkey

Fatma Selin Hangişi
Kocaeli University
Turkey

Suhap Şahin
Kocaeli University
Turkey

 

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