The initial identification of figure-ground relationships: Contributions from shape recognition processes
نویسندگان
چکیده
منابع مشابه
Shape recognition contributions to figure-ground reversal: which route counts?
Observers viewed upright and inverted versions of figure-ground stimuli, in which Gestalt variables specified that the center was figure. In upright versions, the surround was high in denotivity, in that most viewers agreed it depicted the same shape; in inverted versions, the surround was low in denotivity. The surround was maintained as figure longer and was more likely to be obtained as figu...
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Traditional bottom-up models of visual processing assume that figure-ground organization precedes object recognition. This assumption seems logically necessary: How can object recognition occur before a region is labeled as figure? However, some behavioral studies find that familiar regions are more likely to be labeled figure than less familiar regions, a problematic finding for bottom-up mode...
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Visual processes deal with analyzing images and extracting information from them. They play an important role in many of todays industries, e.g., in the medical instrument industry, the electronic and micro-electronic industry, the movie industry, the robotics industry, and in many other elds which require automatic extraction of visual information from images. One of the major di culties in im...
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This paper proposes a new, e cient, gure from ground discrimination method. This algorithm is based on the assumption that background data features can be more easily detected than gure data features, thus emphasizing the background detection task (and implying the name of the method). Along the iterative labeling process, data features are sequentially and permanently labelled as "background",...
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completion elds: A neural model of illusory contour shape and salience. eferences 123 OPR78] R. Ohlander, K. Price, and D. R. Reddy. Picture segmentation using a recursive region splitting method. Sau92] E. Saund. Labeling of curvilinear structure across scales by token grouping. In CVPR, pages 257{263, 1992. SB93] S. Sarkar and K. L. Boyer. Perceptual organization in computer vision: a review ...
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ژورنال
عنوان ژورنال: Bulletin of the Psychonomic Society
سال: 1991
ISSN: 0090-5054
DOI: 10.3758/bf03342677