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Mostrando ítems 41-50 de 2004
Texture and color analysis of lentils and rice for instant meal using image processing techniques
(2016-10)
Typical approaches for measuring color and texture properties are mostly timeconsuming. An image-based method was used to evaluate texture and color in lentils and rice subjected to freeze-drying for an instant meal. Cooked ...
Medical image retrieval based on complexity analysis
(SPRINGER, 2010)
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
(Pergamon-Elsevier Science Ltd, 2016-10)
The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between ...
Characterization of texture in image of skin lesions by support vector machine
(2012-11-19)
Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...
Characterization of texture in image of skin lesions by support vector machine
(2012-11-19)
Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...
Texture analysis using volume-radius fractal dimension
(ElsevierPhiladelphia, 2013-02)
Texture plays an important role in computer vision. It is one of the most important visual attributes used in image analysis, once it provides information about pixel organization at different regions of the image. This ...