ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2016
Quarter: 3
Volume: 8
Number: 3
Pages: 51 - 64
Article Name: IMAGE TEXTURE CHARACTERISTICS VISUALIZATION BASED ON HARALICK MATRIX
Authors: A.K. Troitsky (Russian Federation)
Address: A.K. Troitsky
troitskyak@rambler.ru
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Russian Federation
Abstract: The article considers scientific visualization method for images with obviously marked texture characteristics. Similar image type particular property is that it is very difficult for a man to give some impartial estimation for them. Metallography, medicine, wood structure and aerial photography image examples are given as texture image patterns. Haralick matrix was chosen as main characteristic for texture image visual estimation. Different algorithm calculation modifications are suggested. They allow to take into consideration the scale and the turning angle for analyzed texture images by pixel location changes. Haralick matrix visualization algorithms were developed. They allow to demonstrate the Haralick matrix at the monitor in visual form. Gamma – correction image enhancement methods are used for more high-quality visual perception of formed images. Texture image characteristic visualization program complex was developed based on simple and modified Haralick matrixes with image quality enhancement possibility. This program complex was tested for real metallography image examples. Received results give chance to assume that visualization method application by the analysis of information, which is difficult to perceive, will be very effective for practical tasks solving in various areas.
Language: English


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