2 resultados para Cor icumsa

em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)


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The study of Color Perception is a basic requirement for students in the areas that have main joints in the visual context. Therefore, the Color Theory is essential to a wide range of programs, ranging from the Design to Architecture. This book was designed to assist, on the one hand, the teacher of the courses that involve Color Theory, and on the other, the students of these courses, mainly in the process of the symbolic cultural construction of color. Professionals will also find here importante information for implementing color on their projects.

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The purpose of this work is to demonstrate and to assess a simple algorithm for automatic estimation of the most salient region in an image, that have possible application in computer vision. The algorithm uses the connection between color dissimilarities in the image and the image’s most salient region. The algorithm also avoids using image priors. Pixel dissimilarity is an informal function of the distance of a specific pixel’s color to other pixels’ colors in an image. We examine the relation between pixel color dissimilarity and salient region detection on the MSRA1K image dataset. We propose a simple algorithm for salient region detection through random pixel color dissimilarity. We define dissimilarity by accumulating the distance between each pixel and a sample of n other random pixels, in the CIELAB color space. An important result is that random dissimilarity between each pixel and just another pixel (n = 1) is enough to create adequate saliency maps when combined with median filter, with competitive average performance if compared with other related methods in the saliency detection research field. The assessment was performed by means of precision-recall curves. This idea is inspired on the human attention mechanism that is able to choose few specific regions to focus on, a biological system that the computer vision community aims to emulate. We also review some of the history on this topic of selective attention.