Digital watermarking and segmentation of macroscopic pigmented skin lesions images

Abstract

This work presents the use of digital watermarking for applications of automated pigmented skin lesions assessment. Automated skin lesion assessment by digital image processing of macroscopic pigmented skin lesion (MPLS) images uses lesion characteristics for malignant risk computation. The accuracy of the computed risk level is increased when additional information is taken into consideration: age, gender, skin type, position of the lesions on body, and the presence of multiple and similar lesions. We propose a digital watermarking scheme for embedding relevant patient information into the color MPSL image. The preliminary experimental results are promising, and suggest that the proposed watermarking scheme is suitable for this type of application.