منابع مشابه
Texture brightness filling-in
The masking procedure by Paradiso and Nakayama (1991) (Vision Research, 31, 1221-1236) was used to investigate brightness filling-in within textures made of line elements: a texture stimulus was masked by a second stimulus containing a square contour. When a uniform texture was presented, the texture region inside the masking square appeared darkened and a small number of texture elements were ...
متن کاملTexture filling-in and texture segregation revealed by transient masking
When a texture pattern was briefly presented followed by a small annular mask, it was found that the central area of the texture was strongly suppressed within the mask. Analogous to filling-in of brightness in a uniform luminance area (Paradiso, M. A. & Nakayama, K. (1991) Vision Research, 31, 1221-1236), this phenomenon demonstrates filling-in of texture; the texture area was unperceived beca...
متن کاملNatural image statistics mediate brightness ‘ filling in ’ Steven
Although the human visual system can accurately estimate the reflectance (or lightness) of surfaces under enormous variations in illumination, two equiluminant grey regions can be induced to appear quite different simply by placing a light–dark luminance transition between them. This illusion, the Craik–Cornsweet– O’Brien (CCOB) effect, has been taken as evidence for a low-level ‘filling-in’ me...
متن کاملParametric texture synthesis for filling holes in pictures
This paper presents a framework for “Filling In” missing gaps in images and particularly patches with texture. The underlying idea is to construct a parametric model of the p.d.f. of the texture to be re-synthesised and then draw samples from that p.d.f. to create the resulting reconstruction. A Bayesian approach is used to repose 2D Autoregressive Models as generative models for texture (using...
متن کاملLearning to Detect Natural Image Boundaries Using Brightness and Texture
The goal of this work is to accurately detect and localize boundaries in natural scenes using local image measurements. We formulate features that respond to characteristic changes in brightness and texture associated with natural boundaries. In order to combine the information from these features in an optimal way, a classifier is trained using human labeled images as ground truth. We present ...
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ژورنال
عنوان ژورنال: Vision Research
سال: 1998
ISSN: 0042-6989
DOI: 10.1016/s0042-6989(97)00237-x