Download PDF by J. R. Parker: Algorithms for Image Processing and Computer Vision (2nd

By J. R. Parker

ISBN-10: 1118019628

ISBN-13: 9781118019627

A cookbook of algorithms for universal photo processing applications.

Thanks to advances in desktop and software program, algorithms were constructed that aid refined photo processing with out requiring an intensive historical past in arithmetic. This bestselling booklet has been totally up to date with the most recent of those, together with 2nd imaginative and prescient tools in content-based searches and using photos playing cards as picture processing computational aids. It’s an awesome reference for software program engineers and builders, complicated programmers, pictures programmers, scientists, and different experts who require hugely really good photo processing.

Algorithms now exist for a wide selection of refined photograph processing purposes required by way of software program engineers and builders, complicated programmers, photos programmers, scientists, and comparable specialists
This bestselling ebook has been thoroughly up-to-date to incorporate the most recent algorithms, together with second imaginative and prescient equipment in content-based searches, information on sleek classifier tools, and pictures playing cards used as photograph processing computational aids
Saves hours of mathematical calculating by utilizing allotted processing and GPU programming, and offers non-mathematicians the shortcuts had to software rather refined applications.

Algorithms for picture Processing and desktop imaginative and prescient, second version offers the instruments to hurry improvement of photo processing functions.

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Additional info for Algorithms for Image Processing and Computer Vision (2nd Edition)

Example text

The basic image structure in the AIPCV library consists of two structures: a header and an image. The image structure, named simply image, consists of two pointers: one to a header and one to an array of pixel data: struct image { struct header *info; unsigned char **data; }; // Pointer to header // Pointer tp pixels The pixel data is stored in the same way as for single-channel byte images in OpenCV: as a block of bytes addressed in row major order. It is set up to be indexed as a 2D array, however, so data is an array of pointers to rows.

All windows are referred to by their name and not through pointers. When created, the window can be given the autosize property or not. Following this, the function cvShowImage can be used to display an image (as specified by an IplImage pointer) in an existing window. For windows with the autosize property, the window will change size to fit the image; otherwise, the image will be scaled to fit the window. Whenever cvShowimage is called, the image passed as a parameter is displayed in the given window.

Standard deviation is a measure of scale in this instance.

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Algorithms for Image Processing and Computer Vision (2nd Edition) by J. R. Parker

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