Titlebook: Algorithms for Graphics and Image Processing; Theo Pavlidis Book 1982 Computer Science Press, Inc. 1982 algorithm.algorithms.image process

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书目名称Algorithms for Graphics and Image Processing影响因子(影响力)




书目名称Algorithms for Graphics and Image Processing影响因子(影响力)学科排名




书目名称Algorithms for Graphics and Image Processing网络公开度




书目名称Algorithms for Graphics and Image Processing网络公开度学科排名




书目名称Algorithms for Graphics and Image Processing被引频次




书目名称Algorithms for Graphics and Image Processing被引频次学科排名




书目名称Algorithms for Graphics and Image Processing年度引用




书目名称Algorithms for Graphics and Image Processing年度引用学科排名




书目名称Algorithms for Graphics and Image Processing读者反馈




书目名称Algorithms for Graphics and Image Processing读者反馈学科排名

Enthralling

Employee

,Unternehmer nach Höfetradition,articular directions. (In graphics, as well as in some scene analysis problems, the term is commonly used to denote the mapping of a three-dimensional object to the plane with all depth information lost.) The . of gray scale images from their projections is one of the best known uses of computers fo

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Cervical-Spine

,Das Comeback des Kalle-Bäckers,study of such images is the concept of ., a term that is not easy to define quantitatively. One faces this problem when sampling an analog bilevel image. The size of the cells of the sampling grid must be small enough so that the shapes of regions of a given color remain unaltered in reconstructing

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傲慢人

MODE

,Unternehmer nach Höfetradition,e has a local property if local modifications do not propagate. Clearly, the polynomials discussed in Section 10.2 do not have this feature and Bezier polynomials exhibit it only approximately. A change in the location or multiplicity of one of the guiding points requires the recalculation of the wh

赦免

https://doi.org/10.1007/978-3-8349-9611-4meters, so that a curve defined by them can still be used for interpolation.) There are many applications where interpolation is not necessary, or even desirable, and one wants the curve to pass only near the data points. This is the approximation problem. If the curve fitting is done in an interact