Image Processing (Over 17,000 results)

- Hardcover
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Hardback. Condition: Good. The technological developments of the last ten years have made com- puter graphics and image processing by computer popular. Pictorial pat- tern recognition has also shown significant progress. Clearly, there exist overlapping interests among the three areas of research. Graphic displays are of concern to anyone involved in image processing or pic- torial pattern recognition and many problems in graphics require methodologies from image processing for their solutions. The data structures used in all three areas are similar. It seems that there is a common body of knowledge underlying all three areas, pictorial informa- tion processing by computer. The novelty of these fields makes it difficult to design a course or to a write a book covering their basic concepts. Some of the treatises on graphics focus on the hardware and methods of current interest while treatises on image processing often emphasize applications and classical signal processing. The fast evolution of technology causes such material to lose its relevance. For example, the development of optical fibers has reduced the importance of bandwidth compression. …

- Hardcover
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- Softcover
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- Softcover
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Condition: good. Fast & Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

Language: English
Published by Prentice Hall (Higher Education Division, Pearson Education), 1979
- Hardcover
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- Hardcover
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- Softcover
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- Hardcover
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- Hardcover
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- Hardcover
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.Bay State Book Company
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Prentice Hall PTR Pub Date: 12/1/1997 Binding: Hardcover Pages: 528 first edition.

- Hardcover
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- Hardcover
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hardcover. Condition: Acceptable. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket.…

- Hardcover
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- Hardcover
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Hardback. Condition: Good. Basic principles of image processing and programming explained without college-level mathematics. This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a "transparent" view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.…

- Softcover
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Paperback. Condition: Good. A guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. It includes developments in feature extraction, expanded tutorials and techniques. It also contains advanced material on Haar wavelets, Viola-Jones, bilateral filtering, SURF PCA-SIFT, and more. …

- Softcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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- Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Hardback. Condition: Fair. For courses in Image Processing and Computer Vision.Completely self-contained?and heavily illustrated?this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing?e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.…

- Hardcover
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- Hardcover
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Hardback. Condition: Good. For courses in Image Processing and Computer Vision.Completely self-contained?and heavily illustrated?this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing?e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.…