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An interdisciplinary introduction to image processing- [electronic resource] : pixels, numbers, and programs
An interdisciplinary introduction to image processing- [electronic resource] : pixels, numbers, and programs
상세정보
- 자료유형
- 단행본
- International Standard Book Number
- 0262301393 (electronic bk.)
- International Standard Book Number
- 9780262301398 (electronic bk.)
- International Standard Book Number
- 9780262017169 (hardcover : alk. paper)
- International Standard Book Number
- 0262017164 (hardcover : alk. paper)
- Library of Congress Call Number
- TA1637-.T37 2012eb
- Dewey Decimal Classification Number
- 621.36/7-23
- Main Entry-Personal Name
- Tanimoto, S.((Steven))
- Publication, Distribution, etc. (Imprint
- Cambridge, Mass : MIT Press, c2012
- Physical Description
- 1 online resource (xxii, 521 p, [20] p of plates) : ill. (some col.)
- Bibliography, Etc. Note
- Includes bibliographical references and index.
- Formatted Contents Note
- 완전내용Getting started -- Brightness and contrast -- Controlling color -- Geometric transformations -- Geometric distortions -- Synthesizing images -- Stereograms -- Images within images -- Filtering -- Introducing python -- Basics of python -- Control structures : Conditionals and repetition -- Data structures -- Creating functions -- Programming techniques -- Image analysis -- Pattern recognition -- Computational photography -- Selected applications -- Calculator formulas -- Quick reference-PixelMath formulas -- Python glossary -- Troubleshooting - Graphical user interfaces.
- Summary, Etc.
- 요약This 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, and advanced extension of the calculator; and the Python window.
- Subject Added Entry-Topical Term
- Image processing
- Subject Added Entry-Topical Term
- TECHNOLOGY & ENGINEERING / Imaging Systems.
- Subject Added Entry-Topical Term
- Image processing.
- Additional Physical Form Entry
- Print version. 9780262017169. 0262017164. (DLC) 2011036233
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:422790
MARC
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■24513▼aAn interdisciplinary introduction to image processing▼h[electronic resource] ▼bpixels, numbers, and programs▼dSteven L. Tanimoto
■260 ▼aCambridge, Mass▼bMIT Press▼cc2012
■300 ▼a1 online resource (xxii, 521 p, [20] p of plates) ▼bill. (some col.)
■504 ▼aIncludes bibliographical references and index.
■5050 ▼aGetting started -- Brightness and contrast -- Controlling color -- Geometric transformations -- Geometric distortions -- Synthesizing images -- Stereograms -- Images within images -- Filtering -- Introducing python -- Basics of python -- Control structures : Conditionals and repetition -- Data structures -- Creating functions -- Programming techniques -- Image analysis -- Pattern recognition -- Computational photography -- Selected applications -- Calculator formulas -- Quick reference-PixelMath formulas -- Python glossary -- Troubleshooting - Graphical user interfaces.
■520 ▼aThis 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, and advanced extension of the calculator; and the Python window.
■650 0▼aImage processing
■650 7▼aTECHNOLOGY & ENGINEERING / Imaging Systems.▼2bisacsh
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