Digital Image Processing

Makes the fundamentals of digital image processing easy to learn, using a signal processing and algorithmic approach

Written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures, and detailed explanations

Provides detailed information on each concept, developed from basic principles

Gives equal emphasis to theory and practice

Features a companion website that provides several MATLAB programs for the implementation of image processing algorithms

Autorentext

Dr. D. Sundararajan holds a B.E. in Electrical Engineering from Madras University and an M.Tech. in Electrical Engineering from the Indian Institute of Technology Chennai (IIT Chennai). He obtained his Ph.D. in Electrical Engineering at Concordia University, Montreal, Canada, in 1988. As the principal inventor of the latest family of discrete Fourier transform (DFT) algorithms, he holds three patents (granted by the US, Canada and Britain). Further, he has published several papers in IEEE Transactions and in the Proceedings of the IEEE Conference, and he is the author of 11 books. He has taught undergraduate and graduate classes in digital signal processing, digital image processing, engineering mathematics, programming, operating systems, and digital logic design at Concordia University, Canada, Nanyang Technological University, Singapore, and Adhiyamaan College of Engineering, India. He has also conducted workshops on digital image processing, MATLAB, and LaTeX. Over the course of his engineering career, he has held positions at the National Aerospace Laboratory, Bangalore, and the National Physical Laboratory, New Delhi, where he worked on the design of digital and analog signal processing systems.

Inhalt

Chapter 1. Introduction.- Chapter 2. Image Enhancement in the Spatial Domain.- Chapter 3. Fourier Analysis.- Chapter 4. Image Enhancement in the Frequency Domain.- Chapter 5. Image Restoration.- Chapter 6. Geometric Transformations and Image Registration.- Chapter 7. Image Reconstruction from Projections.- Chapter 8. Morphological Image Processing.- Chapter 9. Edge Detection.- Chapter 10. Segmentation.- Chapter 11. Object Description.- Chapter 12. Object Classication.- Chapter 13. Image Compression.- Chapter 14. Color Image Processing.