Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox of the MathWorks. Inc., a recognized leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported set of software tools for addressing a broad range of applications in digital image processing. A unique feature of this hook is its emphasis on showing how to enhance those tools by the development of new code. This is important in image processing, where there is a need for extensive experimental work in order to arrive at acceptable problem solutions.
After an introduction to the fundamentals of MATLAB programming, the book addresses the mainstream areas of image processing. Areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.
1 Introduction
2 Fundamentals
3 Intensity Transformations and Spatial Filtering
4 Frequency Domain Processing
5 Image Restoration
6 Color Image Processing
7 Wavelets
8 Image Compression
9 Morphological Image Processing
10 Image Segmentation
11 Representation and Description
12 Object Recognition
App. A Function Summary
App. B ICE and MATLAB Graphical User Interfaces
App. C M-Functions
Bibliography
Index