Název: Visual Images Segmentation based on Uniform Textures Extraction
Autoři: Goltsev, A. ; Gritsenko, V. ; Húsek, Dušan
Typ dokumentu: Výzkumné zprávy
Rok: 2020
Jazyk: eng
Edice: Technical Report, svazek: V-1278
Abstrakt: 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.
Klíčová slova: Homogeneous ne-grained texture segment; Texture feature; Texture segment extraction; Texture segmentation; Texture window

Instituce: Ústav informatiky AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný v příslušném ústavu Akademie věd ČR.
Původní záznam: http://hdl.handle.net/11104/0314106

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-432889


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