Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition (Google eBook)
Image processing is fast becoming a valuable tool for analyzing multidimensional data in all areas of natural science. Since the publication of the best-selling first edition of this handbook, the field of image processing has matured in many of its aspects from ad hoc, empirical approaches to a sound science based on established mathematical and physical principles.
The Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition builds a sound basic knowledge of image processing, provides a critically evaluated collection of the best algorithms, and demonstrates those algorithms with real-world applications from many fields. It covers all aspects of image processing, from image formation to image analysis, and gives an up-to-date review of advanced concepts. Organized according to the hierarchy of tasks, each chapter includes a summary, an outline of the background the task requires, and a section of practical tips that help you avoid common errors and save valuable research time.
New in the Second Edition:
Just as digital image processing provides the key to studying complex scientific problems that researchers once could only dream of tackling, this handbook unlocks the intricacies of image processing and brings its power and potential within the grasp of researchers across the spectrum of scientific and engineering disciplines.
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3 Quantitative Visualization
4 Image Formation
5 Imaging Sensors
6 Digitalization and Quantization
9 Restoration and Reconstruction
14 Scale and Texture
16 Size and Shape
B Mathematical Toolbox
algorithm amplitude analysis angle applied B-spline blurring camera CCD sensors classiﬁcation coeﬃcients color computed constant convolution operator coordinates deﬁned derivative ﬁlter detector diﬀerent diﬀusion digital image direction distance distribution edge edge detection eﬀect eﬃcient electromagnetic equation error example ﬁeld Figure ﬁlter ﬁrst ﬂuorescence ﬂux focal Fourier descriptors Fourier transform frame grabber Gaussian geometric gradient gray values illumination image plane image processing imaging sensors interpolation inverse irradiance Laplacian lens light source linear luminous mask matrix measure multiplication neighborhood operations noise nonlinear object optical system orientation parameters pattern phase photons pixel point operations point spread function pyramid radiance radiation radiometry range recursive ﬁlters reﬂection resolution rotation sampling scale shift signiﬁcant signiﬁcantly smoothing space spatial speciﬁc spectral structure structure tensor suﬃcient surface task techniques telecentric texture tion transfer function variance vector wave number wavelength window function zero
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