Ebook: Digital Image Processing: Concepts, Algorithms, and Scientific Applications

From the reviews of the first edition:
"I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times ..." #J. Electronic Imaging#
This practical guidebook uses the concepts and mathematics familiar to students of the natural sciences to provide them with a working knowledge of modern techniques of digital image processing. It takes readers from basic concepts to current research topics and demonstrates how digital image processing can be used for data gathering in research. Detailed examples of applications on PC-based systems and ready-to-use algorithms enhance the text, as do nearly 200 illustrations (16 in color). The book also includes the most exciting recent advances such as reconstruction of 3-D objects from projections and the analysis of stereo images and image sequences.

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From the reviews of the first edition:
"I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times ..." #J. Electronic Imaging#
This practical guidebook uses the concepts and mathematics familiar to students of the natural sciences to provide them with a working knowledge of modern techniques of digital image processing. It takes readers from basic concepts to current research topics and demonstrates how digital image processing can be used for data gathering in research. Detailed examples of applications on PC-based systems and ready-to-use algorithms enhance the text, as do nearly 200 illustrations (16 in color). The book also includes the most exciting recent advances such as reconstruction of 3-D objects from projections and the analysis of stereo images and image sequences.
Content:
Front Matter....Pages I-XIII
Introduction....Pages 1-18
Image Formation and Digitization....Pages 19-52
Space and Wave Number Domain....Pages 53-76
Pixels....Pages 77-99
Neighborhoods....Pages 100-116
Mean and Edges....Pages 117-156
Local Orientation....Pages 157-172
Scales....Pages 173-184
Texture....Pages 185-192
Segmentation....Pages 193-199
Shape....Pages 200-218
Classification....Pages 219-230
Reconstruction from Projections....Pages 231-252
Motion....Pages 253-274
Displacement Vectors....Pages 275-296
Displacement Vector Fields....Pages 297-317
Space-Time Images....Pages 318-340
Back Matter....Pages 341-402

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From the reviews of the first edition:
"I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times ..." #J. Electronic Imaging#
This practical guidebook uses the concepts and mathematics familiar to students of the natural sciences to provide them with a working knowledge of modern techniques of digital image processing. It takes readers from basic concepts to current research topics and demonstrates how digital image processing can be used for data gathering in research. Detailed examples of applications on PC-based systems and ready-to-use algorithms enhance the text, as do nearly 200 illustrations (16 in color). The book also includes the most exciting recent advances such as reconstruction of 3-D objects from projections and the analysis of stereo images and image sequences.
Content:
Front Matter....Pages I-XIII
Introduction....Pages 1-18
Image Formation and Digitization....Pages 19-52
Space and Wave Number Domain....Pages 53-76
Pixels....Pages 77-99
Neighborhoods....Pages 100-116
Mean and Edges....Pages 117-156
Local Orientation....Pages 157-172
Scales....Pages 173-184
Texture....Pages 185-192
Segmentation....Pages 193-199
Shape....Pages 200-218
Classification....Pages 219-230
Reconstruction from Projections....Pages 231-252
Motion....Pages 253-274
Displacement Vectors....Pages 275-296
Displacement Vector Fields....Pages 297-317
Space-Time Images....Pages 318-340
Back Matter....Pages 341-402
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