Digital Image Processing by Professor Dr. Bernd Jähne (auth.)

By Professor Dr. Bernd Jähne (auth.)

Since the 1st variation of "Digital photo Processing" was once released in 1991 it has stumbled on its option to many desks and study rooms. The publication deals an critical view of photo processing from snapshot acquisition to the extraction of the information of curiosity. The dialogue of the final thoughts is supplemented with examples from functions on PC-based snapshot processing platforms and ready-to-use implementations of significant algorithms.
The 6th version has been revised and prolonged. the entire textbook is now truly partitioned into simple and complicated fabric so as to deal with the ever-increasing box of electronic snapshot processing. during this method, you could first paintings your manner in the course of the easy ideas of electronic photo processing with no getting crushed by means of the wealth of the cloth after which expand your stories to chose issues of curiosity. every one bankruptcy now comprises workouts that assist you to check your knowing, educate your abilities, and introduce you to real-world snapshot processing initiatives. a huge a part of the workouts is a wealth of interactive computing device routines, which disguise all subject matters of this textbook.

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A region or an object is called connected when we can reach any pixel in the region by walking from one neighboring pixel to the next. The black object shown in Fig. 4c is one object in the 8-neighborhood, but constitutes two objects in the 4-neighborhood. The white background, however, shows the same property. Thus we have either two connected regions in the 8-neigborhood crossing each other or two separated regions in the 4-neighborhood. This inconsistency can be overcome if we declare the objects as 4-neighboring and the background as 8-neighboring, or vice versa.

The direction of the pattern is best described by a vector normal to the lines of constant gray values. 14) the wavelength and direction can be expressed by one vector, the wave number k. The components of k = [k1 , k2 ]T directly give the number of wavelengths per unit length in the corresponding direction. 11: The first 56 periodic patterns, the basis images of the Fourier transform, from which the image in Fig. 10 is composed. 12: Description of a 2-D periodic pattern by the wavelength λ, wave number k, and phase ϕ.

Again, we are forced to define two different neighborhoods for objects and the background in order to achieve a consistent definition of connected regions. The objects and background must be a 6-neighborhood and a 26-neighborhood, respectively, or vice versa. 3 Discrete Geometry The discrete nature of digital images makes it necessary to redefine elementary geometrical properties such as distance, slope of a line, and coordinate transforms such as translation, rotation, and scaling. These quantities are required for the definition and measurement of geometric parameters of object in digital images.

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