Design for embedded image processing on FPGAs / Donald G. Bailey.

Format:

Book

Author/Creator:

Bailey, Donald G. (Donald Graeme), 1962-

Language:

English

Subjects (All):

Embedded computer systems.

Field programmable gate arrays.

Physical Description:

1 online resource (508 p.)

Edition:

1st edition

Distribution:

[Piscataqay, New Jersey] : IEEE Xplore, [2011]

Place of Publication:

New York, NY : Wiley, 2011.

Language Note:

English

System Details:

text file

Summary:

Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications the author has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned.. Provides a bridge between algorithms and hardware. Demonstrates how to avoid many of the potential pitfalls. Offers practical recommendations and solutions. Illustrates several real-world applications and case studies. Allows those with software backgrounds to understand efficient hardware implementationDesign for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers.The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications.Lecture slides for instructors available at:www.wiley.com/go/bailey/fpga.

Contents:

Preface

Acknowledgements

1 Image Processing

1.1 Basic Definitions

1.2 Image Formation

1.3 Image Processing Operations

1.4 Example Application

1.5 Real-Time Image Processing

1.6 Embedded Image Processing

1.7 Serial Processing

1.8 Parallelism

1.9 Hardware Image Processing Systems

2 Field Programmable Gate Arrays

2.1 Programmable Logic

2.2 FPGAs and Image Processing

2.3 Inside an FPGA

2.4 FPGA Families and Features

2.5 Choosing an FPGA or Development Board

3 Languages

3.1 Hardware Description Languages

3.2 Software-Based Languages

3.3 Visual Languages

3.4 Summary

4 Design Process

4.1 Problem Specification

4.2 Algorithm Development

4.3 Architecture Selection

4.4 System Implementation

4.5 Designing for Tuning and Debugging

5 Mapping Techniques

5.1 Timing Constraints

5.2 Memory Bandwidth Constraints

5.3 Resource Constraints

5.4 Computational Techniques

5.5 Summary

6 Point Operations

6.1 Point Operations on a Single Image

6.2 Point Operations on Multiple Images

6.3 Colour Image Processing

6.4 Summary

7 Histogram Operations

7.1 Greyscale Histogram

7.2 Multidimensional Histograms

8 Local Filters

8.1 Caching

8.2 Linear Filters

8.3 Nonlinear Filters

8.4 Rank Filters

8.5 Colour Filters

8.6 Morphological Filters

8.7 Adaptive Thresholding

8.8 Summary

9 Geometric Transformations

9.1 Forward Mapping

9.2 Reverse Mapping

9.3 Interpolation

9.4 Mapping Optimisations

9.5 Image Registration

10 Linear Transforms

10.1 Fourier Transform

10.2 Discrete Cosine Transform

10.3 Wavelet Transform

10.4 Image and Video Coding

11 Blob Detection and Labelling

11.1 Bounding Box

11.2 Run-Length Coding

11.3 Chain Coding

11.4 Connected Component Labelling

11.5 Distance Transform

11.6 Watershed Transform

11.7 Hough Transform

11.8 Summary

12 Interfacing

12.1 Camera Input

12.2 Display Output.

12.3 Serial Communication

12.4 Memory

12.5 Summary

13 Testing, Tuning and Debugging

13.1 Design

13.2 Implementation

13.3 Tuning

13.4 Timing Closure

14 Example Applications

14.1 Coloured Region Tracking

14.2 Lens Distortion Correction

14.3 Foveal Sensor

14.4 Range Imaging

14.5 Real-Time Produce Grading

14.6 Summary

References

Index.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on PDF viewed 12/21/2015.

ISBN:

9786613175168

6613175161

9780470828526

0470828528

9781283175166

1283175169

9780470828502

0470828501

OCLC:

739118465