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Titlebook: Real-Time Parallel Computing; Image Analysis Morio Onoe,Kendall Preston,Azriel Rosenfeld Book 1981 Plenum Press, New York 1981 Area.algorit

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書目名稱Real-Time Parallel Computing
副標(biāo)題Image Analysis
編輯Morio Onoe,Kendall Preston,Azriel Rosenfeld
視頻videohttp://file.papertrans.cn/823/822281/822281.mp4
圖書封面Titlebook: Real-Time Parallel Computing; Image Analysis Morio Onoe,Kendall Preston,Azriel Rosenfeld Book 1981 Plenum Press, New York 1981 Area.algorit
描述This book is concerned with the aspects of real-time, parallel computing which are specific to the analysis of digitized images including both the symbolic and semantic data derived from such images. The subjects covered encompass processing, storing, and transmitting images and image data. A variety of techniques and algorithms for the analysis and manipulation of images are explored both theoretically and in terms of implementation in hardware and software. The book is organized into four topic areas: (1) theo- retical development, (2) languages for image processing, (3) new computer techniques, and (4) implementation in special purpose real-time digital systems. Computer utilization, methodology, and design for image analy- sis presents special and unusual problems. One author (Nagao)* points out that, "Human perception of a scene is very complex. It has not been made clear how perception functions, what one sees in a picture, and how one understands the whole picture. It is almost certain that one carries out a very quick trial-and-error process, starting from the detection of gross prominent features and then analyzing details, using one‘s knowledge of the world. " Another aut
出版日期Book 1981
關(guān)鍵詞Area; algorithms; arithmetic; cluster; computer; design; development; function; functions; hardware; image pro
版次1
doihttps://doi.org/10.1007/978-1-4684-3893-2
isbn_softcover978-1-4684-3895-6
isbn_ebook978-1-4684-3893-2
copyrightPlenum Press, New York 1981
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Hybrid Image Processing Using a Simple Optical Techniquey high speeds but not with great arithmetic precision. Division is especially difficult by means of optical methods. The fundamentals of hybrid processing presented in this chapter make good use of the capability for highspeed 2-D convolution (2-D low pass filtering) by an incoherent optical system in the course of digital processing.
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A Multi-Microprocessor Architecture for Associative Processing of Image Datae developing a multi-microprocessor system designed to satisfy these requirements. This system, called “ARES,” was originally described by Ichikawa et al. (1977, 1978). ARES is essentially capable of associating stored data with a query item. Therefore, it is a problem-oriented computer designed for processing pattern or image data.
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A Computing System Organization for Image Data Retrievalrtant. What is needed is an advanced facility for selecting related image data through an estimation of the relevancy of their essential features at a physical or conceptual level. This problem involves large-scale semantic data base handling and the facility for extracting image features for the embodiment of the data bases.
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Languages for Parallel Processing of Imagesper second, i.e., one picture element (pixel) is generated every 100 nanoseconds. In order that a computing system process images at this rate, several picture points operations (pixops) must be performed in this time interval.
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