Accuracy Analysis of Machine Vision for Detection of Malignant Melanoma Using Pixel Intensity Matrix Parameters

Abstract

Malignant melanoma is a life threatening disease which develops in the skin cells and has the potential to spread the other parts of the body. Early detection and treatment not only increase the survival rate but also reduce the cost of treatment. Sun exposure/ultraviolet exposure, free radicals and history of melanoma in first degree relative are important few factors of the many factors which cause malignant melanoma. Image processing and image analyzing techniques can be intelligently employed for computer aided diagnosis of malignant melanoma. Every year 132,000 people are affected by skin cancer worldwide. This paper proposes a method for the computer aided diagnosis of malignant melanoma using pixel intensity matrix parameters; the accuracy of the proposed method is also found. The results obtained show that the proposed method may be useful for developing an automated diagnosis system for malignant melanoma.