Pattern Recognition Iron Ore
Mostrando 1-3 de 3 artigos, teses e dissertações.
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1. IRON ORE CHARACTERIZATION BY COMPUTER VISION / CARACTERIZAÇÃO DE MINÉRIO DE FERRO POR VISÃO COMPUTACIONAL
Ore classification is useful for understanding and controlling industrial beneficiation processes. The present work contributes to the developement of a computer vision system for automated classification of iron ores by image analysis of optical micrographs. For this purpose, morphological feature extraction algorithms were implemented and feature based cla
Publicado em: 2008
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2. SEGMENTAÇÃO DE GRÃOS DE HEMATITA EM AMOSTRAS DE MINÉRIO DE FERRO POR ANÁLISE DE IMAGENS DE LUZ POLARIZADA / HEMATITE GRAIN SEGMENTATION OF IRON ORE SAMPLES BY POLARIZED LIGHT IMAGE ANALYSIS
The aim of the present work is to classify co-registered pixels of stacks of polarized light images of iron ore into their respective crystalline grains or pores, thus producing grain segmented images that can be analyzed by their size, shape and orientation distributions, as well as their porosity and the size and morphology of the pores. Polished sections
Publicado em: 2008
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3. CO-SITE MICROSCOPY: NEW POSSIBILITIES IN THE ORE CHARACTERIZATION / MICROSCOPIA CO-LOCALIZADA: NOVAS POSSIBILIDADES NA CARACTERIZAÇÃO DE MINÉRIOS
Computer-controlled microscopes with digital image acquisition and analysis led to the creation of a new field, called Digital Microscopy. Digital Microscopy not only allows a certain degree of automation but also has brought new possibilities to microstructural characterization. One of these new and promising possibilities is Co- Site Microscopy, that links
Publicado em: 2007