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Can I read Image Processing for Computer Graphics and Vision (Texts in Computer Science) on EtoBox?

Image Processing for Computer Graphics and Vision (Texts in Computer Science) by Luiz Velho BE, MS, PhD, Alejandro Frery BSc, MSc, PhD, Jonas Gomes PhD (auth.) is a nonfiction available to read on EtoBox.

What is Image Processing for Computer Graphics and Vision (Texts in Computer Science) about?

Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing, with an emphasis on those aspects most used in computer graphics and vision, this fully revised second edition concentrates on describing and analyzing the underlying concepts of this subject. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, the theory of color and different color systems, operations in images, dithering and half-toning, warping and morphing, and image processing. Significantly expanded and revised, this easy-to-follow text/reference reflects recent trends in science and technology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision. **Features:** • Includes 5 new chapters and major changes throughout • Adopts a conceptual approach with emphasis on the mathematical concepts and their

Who reads Image Processing for Computer Graphics and Vision (Texts in Computer Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Luiz Velho BE, MS, PhD, Alejandro Frery BSc, MSc, PhD, Jonas Gomes PhD (auth.)
Publisher
Springer-Verlag London
Published
2009
Language
EN
ISBN
9781848001923
Category
nonfiction
Subjects
Mathematics, Engineering, Computer Science

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