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Full Description
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.
Contents
Chapter 1 Digital Image.- 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.
