Multispectral and thermal images for acne vulgaris classification

While measuring the severity of acne vulgaris, it is necessary to classify the lesion types. The classification of these lesions is done by differentiating between the features of each acne lesion. All of these features are not noticeable through RGB color CCD sensor. In this report, we propose that with the use of additional sensor technology, those features may become evident, i.e. Multispectral and thermal images. We have also discussed our hypothesis about the use multispectral and thermal images in this scenario and have supported our points based on literature.