Color in Computer Vision: Fundamentals and Applications by Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark

By Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek

While the sphere of machine imaginative and prescient drives lots of today’s electronic applied sciences and conversation networks, the subject of colour has emerged only in the near past in such a lot machine imaginative and prescient functions. the most large works up to now on colour in desktop imaginative and prescient, this publication presents a whole set of instruments for operating with colour within the box of photograph understanding.

Based at the authors’ extreme collaboration for greater than a decade and drawing at the most modern considering within the box of computing device technology, the ebook integrates issues from colour technological know-how and desktop imaginative and prescient, in actual fact linking theories, strategies, computer studying, and purposes. the elemental fundamentals, pattern purposes, and downloadable models of the software program and information units also are incorporated. transparent, thorough, and functional, Color in Computer imaginative and prescient explains:

  • Computer imaginative and prescient, together with color-driven algorithms and quantitative result of quite a few state of the art methods
  • Color technological know-how subject matters akin to colour platforms, colour mirrored image mechanisms, colour invariance, and colour constancy
  • Digital photo processing, together with aspect detection, characteristic extraction, snapshot segmentation, and photograph transformations
  • Signal processing concepts for the advance of either picture processing and computing device learning
  • Robotics and synthetic intelligence, together with such themes as supervised studying and classifiers for item and scene categorization Researchers and pros in laptop technological know-how, computing device imaginative and prescient, colour technological know-how, electric engineering, and sign processing will how you can enforce colour in laptop imaginative and prescient purposes and achieve perception into destiny advancements during this dynamic and increasing field.

Chapter 1 creation (pages 1–9):
Chapter 2 colour imaginative and prescient (pages 11–25): via Marcel P. Lucassen
Chapter three colour picture Formation (pages 26–45):
Chapter four Pixel?Based Photometric Invariance (pages 47–68):
Chapter five Photometric Invariance from colour Ratios (pages 69–80): With contributions by means of Cordelia Schmid
Chapter 6 Derivative?Based Photometric Invariance (pages 81–112): With contributions by way of Rein van den Boomgaard and Arnold W. M. Smeulders
Chapter 7 Photometric Invariance by way of computing device studying (pages 113–134): With contributions by way of Jose M. Alvarez and Antonio M. Lopez
Chapter eight Illuminant Estimation and Chromatic model (pages 135–142):
Chapter nine colour fidelity utilizing Low?level positive aspects (pages 143–151):
Chapter 10 colour fidelity utilizing Gamut?Based tools (pages 152–160):
Chapter eleven colour fidelity utilizing computer studying (pages 161–171):
Chapter 12 assessment of colour fidelity tools (pages 172–186):
Chapter thirteen colour function Detection (pages 187–220): With contributions through Arnold W. M. Smeulders and Andrew D. Bagdanov
Chapter 14 colour characteristic Description (pages 221–243): With contributions by means of Gertjan J. Burghouts
Chapter 15 colour photo Segmentation (pages 244–268): With contributions by means of Gertjan J. Burghouts
Chapter sixteen item and Scene popularity (pages 269–286): With contributions by way of Koen E. A. van de Sande and Cees G. M. Snoek
Chapter 17 colour Naming (pages 287–317): With contributions through Robert Benavente, Maria Vanrell, Cordelia Schmid, Ramon Baldrich, Jakob Verbeek and Diane Larlus
Chapter 18 Segmentation of Multispectral photos (pages 318–338): With contributions via Harro M. G. Stokman

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Additional resources for Color in Computer Vision: Fundamentals and Applications

Sample text

Foster [12] tabulated values for the constancy index for some 30 different experimental studies, showing widely varying values. Imperfect constancy implies that a change in the color of the illuminant is not fully discounted for by the visual system, which results in noticeable shifts in object colors. 4 presents a demonstration of color constancy. 4a shows a simulated change in the color of the global illuminant acting on the whole image. Although we easily perceive the global shift toward a purplish color, the fruit colors stay reasonably constant.

Materials absorb photons, reflecting only part of the light hitting the material. In case of ‘‘white’’ materials, most of the photons are reflected. For ‘‘black’’ materials, most of the photons are absorbed. Hence, in a certain way, materials modulate the light Color in Computer Vision: Fundamentals and Applications, First Edition. Theo Gevers, Arjan Gijsenij, Joost van de Weijer, and Jan-Mark Geusebroek. © 2012 John Wiley & Sons, Inc. Published 2012 by John Wiley & Sons, Inc. 26 3 Color Image Formation intensity.

For the colored objects in the room, however, perfect color constancy is not guaranteed because the interaction between the illuminant spectrum and the surface reflectance may result in S-cone ratios being different from 2. Helson [17] proposed an adaptation model in which the visual system is adapted to a medium gray level. Objects with reflectances above that of the adaptation level take on the color of the illuminant, whereas objects with reflectances below that of the adaptation level take on the complementary color.

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