Description
Springer Digital Image Processing A Signal Processing And Algorithmic Approach 2017 Edition by Sundararajan D.
This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing._x000D_ Table of contents :- 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 Classification.- Chapter 13. Image Compression.- Chapter 14. Color Image Processing.