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

Intended as a practical guide, the book takes the reader from basic concepts to up-to-date research topics in digital image processing. Only little special knowledge in computer sciences is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing thus the reader with a general background in natural science gets an easy access to the material presented. The book discusses the following topics: image acquisition and digitization; linear and nonlinear filter operations; edge detection; local orientation and texture; fast algorithms on pyramidal and multigrid data structures; morphological operations to detect the shape of objects; segmentation and classification. Further chapters deal with the reconstruction of three-dimensional objects from projections and the analysis of stereo images and image sequences with differential, correlation, and filter algorithms. Many examples from different areas show how the reader can use digital image processing as an experimental tool for image data acquisition and evaluation in his or her research area.

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Intended as a practical guide, the book takes the reader from basic concepts to up-to-date research topics in digital image processing. Only little special knowledge in computer sciences is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing thus the reader with a general background in natural science gets an easy access to the material presented. The book discusses the following topics: image acquisition and digitization; linear and nonlinear filter operations; edge detection; local orientation and texture; fast algorithms on pyramidal and multigrid data structures; morphological operations to detect the shape of objects; segmentation and classification. Further chapters deal with the reconstruction of three-dimensional objects from projections and the analysis of stereo images and image sequences with differential, correlation, and filter algorithms. Many examples from different areas show how the reader can use digital image processing as an experimental tool for image data acquisition and evaluation in his or her research area.
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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Intended as a practical guide, the book takes the reader from basic concepts to up-to-date research topics in digital image processing. Only little special knowledge in computer sciences is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing thus the reader with a general background in natural science gets an easy access to the material presented. The book discusses the following topics: image acquisition and digitization; linear and nonlinear filter operations; edge detection; local orientation and texture; fast algorithms on pyramidal and multigrid data structures; morphological operations to detect the shape of objects; segmentation and classification. Further chapters deal with the reconstruction of three-dimensional objects from projections and the analysis of stereo images and image sequences with differential, correlation, and filter algorithms. Many examples from different areas show how the reader can use digital image processing as an experimental tool for image data acquisition and evaluation in his or her research area.
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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