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An Approach to Edge Detection in Images of Skin Lesions by Chan-Vese Model

Nowadays there is a great interest in the application of computational systems for the analysis of skin lesions. These systems allow the dermatologist to prevent the development of malignant lesions. The development of the systems has occurred due to the increase of skin cancer cases. In the characterization of skin lesions it is necessary to segment the images accurately. Thus the features and edges informatio...

Identification of Foliar Diseases in Cotton Crop

The manifestation of pathogens in plantations is the most important cause of losses in several crops. These usually represent less income to the farmers due to the lower product quality as well as higher prices to the consumer due to the smaller offering of goods. The sooner the disease is identified the sooner one can control it through the use of agrochemicals, avoiding great damages to the plantation. This c...

Classificação de Assimetria em Lesões de Pele por meio de Imagens usando Máquin...

The increased occurrence of cancer cases over the years and the importance of prevention work motivated the development of this work. It aim is help the dermatologist in the diagnosis of skin lesions, providing information about the characteristics of asymmetry of ABCD rule (Asymmetry, Edge, Color and Diameter), widely used in the initial examination to determine if a lesion is malignant or no. To do so, are ex...

Extraction of skin lesions contours using anisotropic diffusion and active cont...

According to an estimate made by the National Cancer Institute (INCA) in 2012, also valid for the year 2013, the skin cancer appears as one of the most cancer types common in Brazil. The high level of predominance of the skin cancer case has motivated the search and the development of computational methods to assist dermatologists in the diagnosis of skin lesions. The main goal of such methods is concerned to t...

Caracterização de lesões de pele em imagens digitais a partir da máquina de vet...

Este trabalho apresenta um método para a caracterização das lesões de pele, a partir das características da regra ABCD (assimetria, borda, cor e diâmetro) e análise de textura. As características ABCD são obtidas de acordo com o dermatologista e a textura das imagens é definida pela sua dimensão fractal, por meio do método box-counting. As características de assimetria e textura extraídas das imagens são utiliz...

Análise e Caracterização de Lesões de Pele para Auxílio ao Diagnóstico Médico

Neste capítulo, propõe-se uma metodologia híbrida para detectar e extrair os contornos de lesões de pele a partir de imagens, bem como a definição de características usualmente utilizadas no diagnóstico de lesões. O método de segmentação por divisão e união (Split and Merge) foi adotado para detectar a lesão e obter o seu contorno inicial. Em seguida, este contorno é refinado pelo modelo de contorno ativo tradi...

Extração de Características de Lesões de Pele a partir de Imagens

Uma metodologia híbrida para segmentação de lesões de pele

Computer aided methods are widespread demanded in medical applications. As such, methodologies to automatic extract contours are desired to aid the automatic diagnosis of skin lesions. In this work, we propose a hybrid method to detect and extract skin lesion contours from dermatoscopic images. In the proposed method, to obtain the contour that includes all lesion regions, the region growing technique, based on...

Nonlinear smoothing of skin lesions images driven by derivative filters

Image segmentation is an important step to suitable extraction of features of objects from images. However, the presence of noise interferes in segmentation quality; for example, by generating the detection of false edges (or false borders). To diminish the problems caused by the presence of noise in images, various smoothing techniques have been proposed to pre-process the original images. Those methods reduce...

Segmentation of skin lesions by watershed using Mumford-Shah in the seeding pro...