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- W1938462263 abstract "Summary form only given. A stochastic model-based image segmentation technique that utilizes the tone descriptor for object detection and recognition has been developed. The image regions are characterized by region-dependent constant mean (average-gray level) and variance (variation of gray level), and the distribution of the regions is modeled by a stochastic model. For a nondiffracting computed tomography (CT) image it has been proved that (1) at the pixel level, the pixel images are the asymptotic normal random variables, (2) at the class level, the regions are a normal random field, and (3) at the picture level, the observed image is a finite normal mixture. >" @default.
- W1938462263 created "2016-06-24" @default.
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- W1938462263 date "2003-01-13" @default.
- W1938462263 modified "2023-09-25" @default.
- W1938462263 title "Object detection and recognition via stochastic model-based image segmentation" @default.
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- W1938462263 doi "https://doi.org/10.1109/mdsp.1989.96994" @default.
- W1938462263 hasPublicationYear "2003" @default.
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