Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)
DOI: 10.1109/ijcnn.2002.1007459
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A new method for multi-texture segmentation using neural networks

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Cited by 3 publications
(3 citation statements)
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“…Such a representation does not retain any information about the shapes of objects in images and obtains moderate results. Other systems [16,26,35,52] rely on texture detection. Texture is characterized by the repetition of basic elements or textons.…”
Section: Context and Related Workmentioning
confidence: 99%
“…Such a representation does not retain any information about the shapes of objects in images and obtains moderate results. Other systems [16,26,35,52] rely on texture detection. Texture is characterized by the repetition of basic elements or textons.…”
Section: Context and Related Workmentioning
confidence: 99%
“…By tracing back to few decades, several approaches regarding to Auto Brightness Contrast (ABC) techniques had been proposed to enhance the image contrast. Though they achieved some degree of success (Tolat et al ., ; De Medeiros Martins et al ., ; Sim et al ., , ) but the conventional ABC methods still restrict by its constraints such that the region of interest (ROI) does not occupy a significant portion of field‐of‐vision (FOV).…”
Section: Introductionmentioning
confidence: 99%
“…During the last decade, several approaches based on auto brightness contrast (ABC) compensation techniques were proposed to solve the considered problem and have had different degrees of success (De Medeiros Martins et al 2002, Tolat et al 1991. Though their achievements were considerable, conventional ABC methods still have several constraints when the region-of-interest (ROI) does not occupy a significant portion of field-of-view (FOV).…”
Section: Introductionmentioning
confidence: 99%