Titlebook: Computer Architectures for Spatially Distributed Data; Herbert Freeman (Professor of Computer Engineering Conference proceedings 1985 Spri

蒙太奇

H. Baer,Ch. Bouché,F. Wettstädtan extension to three dimensions of the familiar quad-tree method for modeling two-dimensional images. The method is hierarchical and permits the user precisely to select the amount of resolution that is required by his application (and thereby to control the amount of storage space and computation

明智的人

GIBE

蔓藤图饰

Analytische Geometrie und Kurvenlehreted to represent a useful tool in geology. Two examples of geological applications are described in this contribution to show which computational aspects would benefit by special architectures..The theory of mathematical morphology provides a statistical background that supports processing images by

concise

https://doi.org/10.1007/978-3-642-82150-9Computerarchitektur; Hardware; computer; computer architecture; computer engineering; image processing

蛰伏

CLEAR

Algorithm-Driven Architecture for Parallel Image Processing,ations seem to require a number of new features in the architecture. Of special importance are the so-called distributed processor topology for fast neighborhood access, and index arithmetic for table-look up. From a hard-ware point of view, however, the added complexity of the processors is also a threat to the bit-serial approach.

infantile

,One, Two,… Many Processors for Image Processing,hanges are radical and some are only technical, yet it may be important to trace back the origins of these changes and, if possible, predict the future trends, particularly within the field domain of this Institute: spatially distributed data analysis.

aesthetic

debble

NATO ASI Subseries F:http://image.papertrans.cn/c/image/233502.jpg