Color image processing and content-based image retrieval techniques for the analysis of dermatological lesions.
This paper presents color image processing methods for the analysis of dermatological images in the context of a content-based image retrieval (CBIR) system. Tests were conducted on the classification of tissue components in skin lesions, in terms of necrotic tissue, fibrin, granulation, and mixed composition. The images were classified based on color components by an expert dermatologist following a black-yellow-red model. Indexing and retrieval of images were performed based on texture information obtained from the red, green, blue, hue, and saturation components of the color images. The performance of the CBIR system was measured in terms of precision and recall. Initial results demonstrate the potential of the proposed methods with the best precision result of 70% obtained for the characterization of mixed tissue composition.
Dorileo
Ederson A G
EA
School of Medicine of Ribeirão Preto, University of São Paulo, 14048-900 Brazil. dorileo@gmail.com
Frade
Marco A C
MA
Roselino
Ana M F
AM
Rangayyan
Rangaraj M
RM
Azevedo-Marques
Paulo M
PM
D003116:Color; D005337:Fibrin / Q000032:analysis; D006097:Granulation Tissue / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016247:Information Storage and Retrieval; D009336:Necrosis; D010363:Pattern Recognition, Automated; D012867:Skin / Q000473:pathology*; D012871:Skin Diseases / Q000175:diagnosis / Q000473:pathology
D005337:Fibrin