Practical Quaternion Imaging with MATLAB

Practical Quaternion Imaging with MATLAB
Author :
Publisher : SPIE-International Society for Optical Engineering
Total Pages :
Release :
ISBN-10 : 1510611355
ISBN-13 : 9781510611351
Rating : 4/5 (351 Downloads)

Book Synopsis Practical Quaternion Imaging with MATLAB by : Artyom M. Grigoryan

Download or read book Practical Quaternion Imaging with MATLAB written by Artyom M. Grigoryan and published by SPIE-International Society for Optical Engineering. This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Color image processing has involved much interest in the recent years. The use of color in image processing is motivated by the facts that 1) the human eyes can discern thousands of colors, and image processing is used both for human interaction and computer interpretation; 2) the color image comprises more information than the gray-level image; 3) the color features are robust to several image processing procedures (for example, to the translation and rotation of the regions of interest); 4) the color features are efficiently used in many vision tasks, including object recognition and tracking, image segmentation and retrieval, image registration etc.; 5) the color is necessary in many real life applications such as visual communications, multimedia systems, fashion and food industries, computer vision, entertainment, consumer electronics, production printing and proofing, digital photography, biometrics, digital artwork reproduction, industrial inspection, and biomedical applications. Finally, the enormous number of color images that constantly are uploaded into Internet require new approaches and challenges of big visual media creation, retrieval, processing, and applications. It also gives us new opportunities to create a number of big visual data-driven applications. Three independent quantities are used to describe any particular color; the human eyes are seen all colors as variable combinations of primary colors of red, green, and blue. Many methods of the modern color image processing are based on dealing out each primary color"--


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