This book describes image processing research based on the morphology of the objects in an image and a VLSI design of a Cellular Logic Processing Element for a real-time processor pipeline. <br/> The field of image processing has spawned a number of special parallel computer architectures: the S
Morphological Image Processing: Architecture and VLSI design
β Scribed by Petrus Paulus Jonker (auth.)
- Publisher
- Springer US
- Year
- 1992
- Tongue
- English
- Leaves
- 293
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Summary Based on the experiences of past designs and the outcome of recent studies in the comparisons of low-level image processing architectures, a pipelined system for realΒ time low-image processing has been designed and realized in CMOS technology. To minimize design pitfalls, a study was performed to the details of the design solutions that have been found in embodimentsof the three main architectural groups of image processing; the Square Processor Arrays, the Linear Processor Arrays and the Pipelines. This is reflected in a theoretical model. As the design is based on bitplane-wise processing of images, research was performed on the principles ofCellularLogic Processing of two dimensional images. of binary A methodology has been developed that is based on the transformation images using sets of Hit-or-Miss masks. This method appeared to be extendable to higher dimensional images. A theoretical model for the generation of break-point conditions in high dimensional images has been developed, and applied up to dimension three.
β¦ Table of Contents
Front Matter....Pages i-10
Introduction....Pages 11-17
Image processing algorithms....Pages 19-42
Image processing architectures....Pages 43-65
Morphology based image processing....Pages 67-130
Pipelined low level image processing....Pages 131-226
Toward an architecture for low- and intermediate level 2D and 3D image processing....Pages 227-261
Conclusions....Pages 263-267
Back Matter....Pages 269-297
β¦ Subjects
Circuits and Systems; Image Processing and Computer Vision; Electrical Engineering; Signal, Image and Speech Processing
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