Original title: Visual Images Segmentation based on Uniform Textures Extraction
Authors: Goltsev, A. ; Gritsenko, V. ; Húsek, Dušan
Document type: Research reports
Year: 2020
Language: eng
Series: Technical Report, volume: V-1278
Abstract: A new effective procedure for partial texture segmentation of visual images is proposed. The procedure segments any input image into a number of non-overlapping homogeneous ne-grained texture areas. The main advantages of the proposed procedure are as follows. It is completely unsupervised, that is, it processes the input image without any prior knowledge of either the type of textures or the number of texture segments in the image. In addition, the procedure segments arbitrary images of all types. This means that no changes to the procedure parameters are required to switch from one image type to another. Another major advantage of the procedure is that in most cases it extracts the uniform ne-grained texture segments present in the image, just as humans do. This result is supported by series of experiments that demonstrate the ability of the procedure to delineate uniform ne-grained texture segments over a wide range of images. At a minimum, image processing according to the proposed technique leads to a signficant reduction in the uncertainty of the internal structure of the analyzed image.
Keywords: Homogeneous ne-grained texture segment; Texture feature; Texture segment extraction; Texture segmentation; Texture window

Institution: Institute of Computer Science AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0314106

Permalink: http://www.nusl.cz/ntk/nusl-432889


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