Intelligent classification of plaque lesion with emulation of human vision perception
Mahanijah Md Kamal, Hadzli Hashim, Fairul Nazmie Osman, Rita Harmiza Abd Rashid · International Conference on Circuits, systems, electronics, control & signal processing · 2009
The HSV color model is fundamentally different from the widely known RGB color model since it separates out the intensity (luminance) from the color information (chromaticity). This paper presents contribution in the field of digital image processing in medical application. Previous work has studied and analyzed psoriasis lesion digital images using HSV color model. The images were processed to show performance of color component in terms of pixel gradation indices that can discriminate plaque from other psoriasis lesion. The findings were based on visual observation of statistical error plots and independent t-test applied. As an extension, this work proposed that the pixel gradation indices representing the respective HSV component being used in the development of an intelligent classification model for plaque lesion. Optimizations of the model by observing the performance indicators regularly applied in medical research.