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Leukemia is a type of cancer that originates in the bone marrow and is characterized by abnormal proliferation of white blood cells. In order to have correct identification of lymphoblasts, hematologists examine blood blades of the patient. A low cost and efficient solution to facilitate the work of these experts is the use of systems to examine blood microscopic images. Segmentation is considered...
Independent component analysis (ICA) is a recent technique used in signal processing for feature description in classification systems, as well as in signal separation, with applications ranging from computer vision to economics. In this paper we propose a preprocessing step in order to make ICA algorithm efficient for rotation invariant feature description of images. Tests were carried out on five...
In this work, the problem of recognition of objects using images extracted from a 3D industrial sensor is discussed. We focus in 7 feature extractors based on invariant moments and 2 based on independent component analysis, as well as on 3 classifiers (k-Nearest Neighbor, Support Vector Machine and Artificial Neural Network-Multi-Layer Perceptron). To choose the best feature extractor, their performance...
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