Librería Portfolio

The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book´s encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

Features

Each chapter is supported by an extensive list of references and exercises.
A selection of algorithms is summarized and presented formally in a manner that should aid implementation.
Reflects the authors´´ experience in teaching one and two semester undergraduate courses in Digital Image Processing, Digital Image Analysis, Image Understanding, Medical Imaging, Machine Vision, Pattern Recognition, and Intelligent Robotics at their respective institutions.
Each chapter further includes a concise Summary section.
A suggestion for partitioning the contents with possible course outlines is included in the books front matter.
A full set of PowerPoint slides is available for download from this site -- PowerPoints include all images and chapter summaries from the text.



List of Algorithms.
Preface.
Possible Course Outlines.
1. Introduction.
2. The Image, Its Representations and Properties.
3. The Image, Its Mathematical and Physical Background.
4. Data Structures for Image Analysis.
5. Image Pre-Processing.
6. Segmentation I.
7. Segmentation II.
8. Shape Representation and Description.
9. Object Recognition.
10. Image Understanding.
11. 3d Geometry, Correspondence, 3d from Intensities.
12. Reconstruction from 3d.
13. Mathematical Morphology.
14. Image Data Compression.
15. Texture.
16. Motion Analysis.
Index