Digital Image Processing: Concepts, Algorithms, and by Dr. Bernd Jähne (auth.)

By Dr. Bernd Jähne (auth.)

Meant as a pragmatic consultant, the publication takes the reader from simple techniques to up to date learn subject matters in electronic snapshot processing. basically little targeted wisdom in desktop sciences is needed for the reason that many rules and mathematical instruments general in average sciences also are utilized in electronic snapshot processing therefore the reader with a normal historical past in normal technological know-how will get a simple entry to the cloth offered. The ebook discusses the subsequent subject matters: picture acquisition and digitization; linear and nonlinear filter out operations; side detection; neighborhood orientation and texture; quick algorithms on pyramidal and multigrid facts buildings; morphological operations to become aware of the form of gadgets; segmentation and class. additional chapters care for the reconstruction of third-dimensional items from projections and the research of stereo photos and photograph sequences with differential, correlation, and filter out algorithms. Many examples from diverse parts exhibit how the reader can use electronic photograph processing as an experimental instrument for picture info acquisition and evaluate in his or her examine sector.

Show description

Read or Download Digital Image Processing: Concepts, Algorithms, and Scientific Applications PDF

Similar electrical & electronic engineering books

Antenna Handbook - Applications

Quantity 1: Antenna basics and Mathematical innovations opens with a dialogue of the basics and mathematical innovations for any type of paintings with antennas, together with easy rules, theorems, and formulation, and methods. DLC: Antennas (Electronics)

Applied Optimal Control: Optimization, Estimation and Control

This best-selling textual content specializes in the research and layout of complex dynamics platforms. selection known as it “a high-level, concise ebook that may good be used as a reference by way of engineers, utilized mathematicians, and undergraduates. The layout is nice, the presentation transparent, the diagrams instructive, the examples and difficulties helpful…References and a multiple-choice exam are incorporated.

Probability, Random Variables and Random Signal Principles (McGraw-Hill series in electrical engineering)

This very winning concise creation to chance idea for the junior-senior point path in electric engineering bargains a cautious, logical association which stresses basics and contains over 800 scholar workouts and plentiful useful functions (discussions of noise figures and noise temperatures) for engineers to appreciate noise and random signs in structures.

Extra info for Digital Image Processing: Concepts, Algorithms, and Scientific Applications

Example text

These two steps can be separated. We can first perform the continuous convolution and then the sampling. In this way we can generalize the image formation process and separate it from the sampling process. 6) in a single convolution process. Therefore 46 2 Image Formation and Digitization Space Domain ---0 * ••• ~ ____ . _ . , , , ,, • .. 1_ ................. . ill • Weighting Function hex) = const. , Bandlimited Spectrum Infinitely extended smoothed Image ·· ... • ... •••. ~. 16: Derivation of the sampling theorem I: schematic illustration of the imaging and sampling process in the x and k spaces.

2. We can then distinguish three separate steps: imaging, sampling, and the limitation of a finite image matrix. Image Formation Digitization cannot be treated without the image formation process. The optical system, including the sensor, influences the image signal so that we should include the effect in this process. Digitization means that we sample the image at certain points of a discrete grid, zm,n. 36) Generally, we do not collect the illumination intensity exactly at these points, but in a certain area around them.

The PSF blurs the points and lines, but they can still be distinguished if they are not too close to each other. Points or lines are extended objects in Fourier space, i. , a constant or a plane. Such extended objects partly coincide with the non-zero parts of the OTF and thus will not vanish entirely. 2 Image formation corresponds to the opening angle of the lens, are not eliminated by the OTF. Intuitively, we can say that we are able to recognize all 3-D structures in which we actually can look into.

Download PDF sample

Rated 4.27 of 5 – based on 29 votes