This book studies the question of obtaining a general and robust Image segmentation and a method to extract shapes for shape based object recognition. A texture classification method using only three filters is proposed which till date is the minimum number of filters used for texture classification achieving top results. It also addresses the issues involved to register images taken from different modalities to study morphology of neuronal growth cones. The work was funded by EC project VISIONTRAIN contract number MRTN-CT ...
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This book studies the question of obtaining a general and robust Image segmentation and a method to extract shapes for shape based object recognition. A texture classification method using only three filters is proposed which till date is the minimum number of filters used for texture classification achieving top results. It also addresses the issues involved to register images taken from different modalities to study morphology of neuronal growth cones. The work was funded by EC project VISIONTRAIN contract number MRTN-CT-2004-005439.
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Add this copy of Image Segmentation and Multi-Modal Study of Neuronal to cart. $89.55, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2011 by LAP LAMBERT Academic Publishin.
