Abstract
The paper is dedicated to the application of image enhancement algorithms for automated granulometry of charging materials that are used in an electric arc furnace. The image processing is performed by means of the algorithms of the OpenCV open source computer vision library. With the purpose of improvement of a source color image of charging materials, preliminary and morphological image processing are carried out. In the course of the preliminary image processing, the image is undergone to adjustment of the contrast and brightness, at the same time the image histogram, which is the indicator of the image contrast, is calculated. The image is also undergone to bilateral filtering in order to reduce its noisiness. Morphological image processing involves carrying out of dilation and erosion operations on the image. The result of the image enhancement operations is the image that is suitable for image segmentation and recognition.
Keywords
Image processing, image enhancement, preliminary image processing, image histogram, morphological image processing, granulometry.
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Maksimov, M.A. and Logunova O.S. (2015).The Complex of Image Processing Algorithms for Granulometry of Charging Materials. Software of systems in the industrial and social fields, 5 (1): 38-42.