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New artificial life model for image enhancement

Alex F. de Araujo; Christos E. Constantinou; João Manuel R.S. Tavares

In this work, a method to enhance images based on a new artificial life model is presented. The model is inspired on the behaviour of a herbivore organism, when this organism is in a certain environment and selects its food. This organism travels through the image iteratively, selecting the more suitable food and eating parts of it in each iteration. The path that the organism travels through in the image is de...


A selective filter to smooth ultrasound images

Alex F. de Araujo; Christos E. Constantinou; João Manuel R. S. Tavares


Parallelization in GPGPU of an image smoothing method based on a variational model

Carlos A. S. J. Gulo; Henrique F. de Arruda; Antonio C. Sementille; Alex F. de Araujo; Joao Manuel R. S. Tavares


A selective denoising method to remove speckle noise

Alex F. de Araujo; João Manuel R. S. Tavares; Christos E. Constantinou


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

Roberta B. Oliveira; Carlos R. D. Caldas Júnior; Rodrigo C. Guido; Norian Marranghello; Aledir S. Pereira; Alex F. de Araujo; João Manuel R. S. Tavares

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...


Caracterização de Textura em Imagens de Lesões de Pele por Máquina de Vetor de ...

Roberta B. Oliveira; Carlos Roberto D. Caldas Júnior; Aledir S. Pereira; Rodrigo C. Guido; Alex F. de Araujo; João Manuel R. S.Tavares

Due to the increased incidence of skin cancer, computational methods using intelligent systems have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify the texture, considering that it is an important feature in identification of lesions. For this is defined a feature vector with the fractal dimension of images through the box-counting method (BCM), wh...


Método de Suavização de Imagem baseado num Modelo Variacional Paralelizado em A...

Carlos A. S. J. Gulo; Henrique F. de Arruda; Antonio C. Sementille; Alex F. de Araujo; João Manuel R. S.Tavares

O aumento constante da velocidade de cálculo dos processadores tem sido uma grande aliada no desenvolvimento de áreas da ciência que exigem processamento de alto desempenho. Associado ao aumento dos recursos computacionais, tem-se presenciado um aumento no emprego de técnicas de computação paralela, no intuito de explorar ao máximo a capacidade de processamento das arquiteturas multiprocessador. No entanto, o c...


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

Roberta Barbosa Oliveira; Alex F. de Araujo; Aledir Silveira Pereira; João Manuel R. S.Tavares; Norian Marranghello; Ricardo Baccaro Rossetti

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...


An artificial life model for image enhancement

Alex F. de Araujo; João Manuel R. S. Tavares

This paper presents an artificial life model for image enhancement. The results of some traditional enhancement methods were analyzed and compared with the ones obtained by the model proposed. The qualitative and quantitative tests performed allowed to conclude that the new model is promising, as is able to enhance transitions of the objects presented in the original images and make them more visually perceptible.



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Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia