By Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek
While the sector of computing device imaginative and prescient drives a lot of today’s electronic applied sciences and conversation networks, the subject of colour has emerged only in the near past in such a lot computing device imaginative and prescient purposes. probably the most vast works up to now on colour in computing device imaginative and prescient, this booklet presents a whole set of instruments for operating with colour within the box of photograph understanding.
Based at the authors’ excessive collaboration for greater than a decade and drawing at the most recent pondering within the box of desktop technological know-how, the e-book integrates themes from colour technology and machine imaginative and prescient, sincerely linking theories, concepts, computer studying, and functions. the elemental fundamentals, pattern functions, and downloadable models of the software program and knowledge 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 cutting-edge methods
- Color technological know-how subject matters comparable to colour platforms, colour mirrored image mechanisms, colour invariance, and colour constancy
- Digital picture processing, together with part detection, function extraction, snapshot segmentation, and snapshot transformations
- Signal processing suggestions for the improvement of either photograph processing and computing device learning
- Robotics and synthetic intelligence, together with such subject matters as supervised studying and classifiers for item and scene categorization Researchers and execs in laptop technology, desktop imaginative and prescient, colour technological know-how, electric engineering, and sign processing will how one 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): by means of Marcel P. Lucassen
Chapter three colour photo 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 via 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 means of computer studying (pages 113–134): With contributions via Jose M. Alvarez and Antonio M. Lopez
Chapter eight Illuminant Estimation and Chromatic variation (pages 135–142):
Chapter nine colour fidelity utilizing Low?level gains (pages 143–151):
Chapter 10 colour fidelity utilizing Gamut?Based tools (pages 152–160):
Chapter eleven colour fidelity utilizing desktop studying (pages 161–171):
Chapter 12 overview of colour fidelity equipment (pages 172–186):
Chapter thirteen colour characteristic Detection (pages 187–220): With contributions by way of Arnold W. M. Smeulders and Andrew D. Bagdanov
Chapter 14 colour function Description (pages 221–243): With contributions through Gertjan J. Burghouts
Chapter 15 colour picture Segmentation (pages 244–268): With contributions by means of Gertjan J. Burghouts
Chapter sixteen item and Scene attractiveness (pages 269–286): With contributions via 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 photographs (pages 318–338): With contributions via Harro M. G. Stokman
Read or Download Color in Computer Vision: Fundamentals and Applications PDF
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Additional resources for Color in Computer Vision: Fundamentals and Applications
23) The Kubelka–Munk theory also generalizes the case of transmission of light. Assuming the material layer is of limited optical thickness, light will leave the material at the side opposite of the one it entered. 24) where d is the local thickness of the layer, c is the concentration of the colorant particles, and α indicates the absorption and scattering coefﬁcient for the colorant particles. Again, e is the emitted spectrum of the illuminant. The law plays an important role in, for example, transmissive light microscopy.
2. In the third process in image formation, light is recorded or observed by a camera or the eye. Here, the photons are registered, by integrating the energy over a certain bandwidth, a certain spatial area, and for a certain period of time. 1), the integration is performed over three spectral broadbands, covering the short-, middle-, and long-range wavelengths of the visual spectrum. Integration time is around 50 ms, and the visual acuity depends on the position of the retina at which the light falls.
This is exactly how knowledge about the sensitivities of the eye is obtained . Two panels are shown, one illuminated by a test light source of arbitrary color and the other illuminated by a mixture of three primary light sources. Now, an observer is asked to change the intensities of the primary light sources until the two test panels appear equivalent. That is, one cannot distinguish a color edge in between the opposing panels. ’’ When choosing three monochromatic (small-band) light sources for the primaries, and taking monochromatic test light sources of various wavelengths, the resulting intensity values per test wavelength yield the so-called color matching functions.
Color in Computer Vision: Fundamentals and Applications by Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek