Image Analysis Applications
This book presents a wide spectrum of applications where image analysis has been successfully employed, providing the reader with an insight into the merits or demerits of a particular technique. It deals with the domain of graphics recognition, document analysis, and map data interpretation.
1128478713
Image Analysis Applications
This book presents a wide spectrum of applications where image analysis has been successfully employed, providing the reader with an insight into the merits or demerits of a particular technique. It deals with the domain of graphics recognition, document analysis, and map data interpretation.
165.49 In Stock
Image Analysis Applications

Image Analysis Applications

by Rangacha Kasturi (Editor)
Image Analysis Applications

Image Analysis Applications

by Rangacha Kasturi (Editor)

eBook

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Overview

This book presents a wide spectrum of applications where image analysis has been successfully employed, providing the reader with an insight into the merits or demerits of a particular technique. It deals with the domain of graphics recognition, document analysis, and map data interpretation.

Product Details

ISBN-13: 9781000147476
Publisher: CRC Press
Publication date: 12/17/2020
Sold by: Barnes & Noble
Format: eBook
Pages: 456
File size: 9 MB

About the Author

Rangacha Kasturi (Pennsylvania State University, University Park, USA) (Edited by)

Table of Contents

1. Document-Analysis Systems and Techniques 2. A Graphics-Recognition System for Interpretation of Line Drawings 3. Automation Recognition of Engineering Drawings and Maps 4. Image-Analysis Techniques for Geographic Information Systems 5. Digital Image Processing and Three-Dimensional Reconstruction in the Basic Neurosciences 6. Applying Digital Processing Methods in the Analysis of Retinal Structure 7. Visual Perception Using a Blackboard Architecture 8. Analysis of High-Resolution Aerial Images 9. Image Formation and Characterization for Three-Dimensional Vision 10. Enhancement of Fingerprints Using Digital and Optical Techniques 11. The Digital Morphological Sampling Theorem
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