Figure and ground in the Creek auxiliary oom
نویسندگان
چکیده
منابع مشابه
Chapter 8. Ground from Figure Discrimination 8.5 Conclusions Chapter 8. Ground from Figure Discrimination Chapter 8. Ground from Figure Discrimination Chapter 8. Ground from Figure Discrimination
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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We investigated whether the lower region effect on figure-ground organization (Vecera, Vogel, and Woodman, 2002) would generalize to contextual depth planes in vertical orientations, as is predicted by a theoretical analysis based on the ecological statistics of edges arising from objects that are attached to surfaces of support. Observers viewed left/right ambiguous figure-ground displays that...
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We examined how figure-ground segmentation occurs across multiple regions of a visual array during a visual search task. Stimuli consisted of arrays of black-and-white figure-ground images in which roughly half of each image depicted a meaningful object, whereas the other half constituted a less meaningful shape. The colours of the meaningful regions of the targets and distractors were either t...
متن کاملChapter 8. Ground from Figure Discrimination 8.5 Conclusions Chapter 8. Ground from Figure Discrimination Chapter 8. Ground from Figure Discrimination
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: <i>WORD</i>
سال: 1992
ISSN: 0043-7956,2373-5112
DOI: 10.1080/00437956.1992.12098300