Digital Image Processing: An Algorithmic Introduction using by Wilhelm Burger

By Wilhelm Burger

"This may be certainly one of my carrying on with reference books for a while to come."
Steve Cunningham, PhD, prior President of SIGGRAPH

"An first-class source for the clients of ImageJ."
Wayne Rasband, writer of ImageJ

This glossy, self-contained, textbook explains the elemental algorithms of electronic snapshot processing via sensible examples and entire Java implementations. to be had for the 1st time in English, Digital picture Processing is the definitive textbook for college students, researchers, and execs looking for severe research and sleek implementations of an important algorithms within the box.

• functional examples and thoroughly built chapter-ending workouts drawn from the authors' years of expertise educating this fabric

• actual implementations, concise mathematical notation, and special algorithmic descriptions designed for programmers and practitioners

• simply adaptable Java code and entirely labored out examples for simple inclusion in current, and swift prototyping of latest, functions

• Self-contained chapters and extra on-line fabric compatible for a versatile one- or - semester direction

• makes use of ImageJ, the picture processing procedure constructed, maintained, and freely dispensed by means of the U.S. nationwide Institutes of overall healthiness (NIH)

• A finished web site (www.imagingbook.com) with whole Java resource code, attempt photos, and extra teacher fabrics

This complete, reader-friendly creation is perfect for starting place classes in addition to eminently compatible for self-study.

Wilhelm Burger is the director of the electronic Media measure courses on the top Austria college of technologies at Hagenberg.

Mark J. Burge is a application director on the nationwide technological know-how starting place (NSF) and a imperative at Noblis (Mitretek) in Washington, D.C.

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Extra resources for Digital Image Processing: An Algorithmic Introduction using Java

Sample text

2 ImageJ Overview Fig. 2 ImageJ software structure (simplified). ImageJ is based on the Java core system and depends in particular upon Java’s Advanced Windowing Toolkit (AWT) for the implementation of the user interface and the presentation of image data. Plugins are small Java classes that extend the functionality of the basic ImageJ system. BMP, as well as the formats DICOM8 and FITS,9 which are popular in medical and astronomical image processing, respectively. As is common in most image-editing programs, all interactive operations are applied to the currently active image, the image selected by the user.

A TIFF file consists of a header and a linked list of image objects, three in this example. Each image object consists of a list of “tags” with their corresponding entries followed by a pointer to the actual image data. IFH Image File Headers IFD Image File Directories IFD 0 Tag Entry Ct Tag 0 Tag 1 ... Tag N0 Next IFD Offset IFD 1 Tag Entry Ct Tag 0 Tag 1 ... Tag N1 Next IFD Offset IFD 2 Tag Entry Ct Tag 0 Tag 1 ... Tag N2 Next IFD Offset Image Data 0 Image Data 1 Image Data 2 GIF is essentially an indexed image file format designed for color and gray scale images with a maximum depth of 8 bits and consequently it does not support true color images.

Yet sometimes you still need to deal with the structure and contents of an image file at the byte level, for instance when you need to read an unsupported file format or when you receive a file where the format of the data is unknown. Big endian and little endian In the standard model of a computer, a file consists of a simple sequence of 8-bit bytes, and a byte is the smallest entry that can be read or written to a file. In contrast, the image elements as they are stored in memory are usually larger then a byte; for example, a 32-bit int value (= 4 bytes) is used for an RGB color pixel.

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