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Improving image classification through descriptor combination
(2012-12-01)
The efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different ...
Improving image classification through descriptor combination
(2012-12-01)
The efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different ...
Texture descriptors for robust SAR image segmentation
(Society of Photo-Optical Instrumentation Engineers, 2021-12-29)
SAR (synthetic aperture radar) and PolSAR (polarimetric synthetic aperture radar) images fulfill a fundamental role in Earth observation, due to their advantages over optical images. However, the presence of speckle noise ...
Swarm-based descriptor combination and its application for image classification
(2014)
In this paper, we deal with the descriptor combination problem in image classification tasks. This problem refers to the definition of an appropriate combination of image content descriptors that characterize different ...
Thermal Face Recognition using Local Interest Points and Descriptors for HRI Applications
(2012-12-18)
In this article a robust thermal face recognition methodology based
on the use of local interest points and descriptors, is proposed. The
methodology consists of the following stages: face segmentation, vascular
network ...
DESCRIPTOR DE CARACTERÍSTICAS LOCALES PARA IMÁGENES DIGITALES BASADO EN LA ESTRUCTURA DE LAS TELARAÑAS
(Biblioteca Digital wdg.biblioUniversidad de Guadalajara, 2014-08-12)
Encontrar las correspondencias entre dos imágenes digitales de una misma escena u objeto es una de las tareas más importantes en una amplia variedad de aplicaciones de visión computacional, como pueden ser la calibración ...