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Methods of Image Processing and Computer Vision

Vadim STARÝ and Tomáš MATYSKA

Abstract


The article contains the overview of the most widely used methods for image processing, brief description and adumbration of possible utilization. In the introduction there are described general assumptions, advantages and disadvantages of each method. Methods are verified on suitable demonstrational tasks. Based on this tasks and results general logical models were created. Tested and described image processing methods are: shape (edge) detection, blobs detection, template matching, feature matching, using linear classifiers and artificial neural networks.

Keywords


Image recognition, Image processing, Image analysis, Artificial intelligence, Neural networks.
Full paper

2016-11-30

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