ABSTRACT
A clinical observation of wound skin may provide clues that can help with the diagnosis, prognosis of healing or determination of severity, mainly because wounds (or ulcers) may appear due to patients' pathologies associated. Image processing methods for wound healing rate, histological analysis and content-based image retrieval techniques for color and texture analysis of dermatological lesions were presented in this chapter. They were presented under the context of CAD-based applications to assist medical staff monitoring and diagnosing skin ulcers. Quantification of the color distribution of skin lesions by image processing techniques may help in the analysis of the dynamics of the pathological process, as well as the progress of healing. This chapter presents color image processing methods for the analysis of dermatological images in the context of a CBIR (Computer-Based Image Retrieval) system. The Red-Yellow-Black-White (RYKW) model is used by clinicians as a descriptive tool.
