By Andreas Koschan
An creation to paint in 3-dimensional photograph processing and the rising sector of multi-spectral picture processing
The significance of colour details in electronic photograph processing is bigger than ever. in spite of the fact that, the transition from scalar to vector-valued picture features has now not but been regularly coated in so much textbooks. Now, electronic colour picture Processing fills this urgent want with a close advent to this significant topic.
In 4 finished sections, this booklet covers:
The basics and necessities for colour photo processing from a vector-valued viewpoint
Techniques for preprocessing colour images
Three-dimensional scene research utilizing colour info, in addition to the rising quarter of multi-spectral imaging
Applications of colour snapshot processing, provided through the exam of 2 case studies
In addition to introducing readers to special new applied sciences within the box, electronic colour photo Processing additionally comprises novel issues equivalent to: options for making improvements to third-dimensional reconstruction, 3-dimensional machine imaginative and prescient, and rising components of security and safety purposes in baggage inspection and video surveillance of high-security facilities.
Complete with full-color illustrations and functions chapters, electronic colour snapshot Processing is the one ebook that covers the breadth of the topic lower than one handy conceal. it really is written at a degree that's available for first- and second-year graduate scholars in electric and computing device engineering and laptop technological know-how classes, and that's additionally applicable for researchers who desire to expand their wisdom within the zone of colour photo processing.
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Extra info for Digital Color Image Processing
368-375. [Sag et al. A. G. T. Reagan. Practical transform coding of multispectral imagery. IEEE Signal Processing 12 (1995), pp. 32-43. S. L. Hafner. Efficient color histogram indexing. Proc. 1st Int. Conference on Image Processing, Austin, Texas, November 1994. [Sch95] P. Scheunders. Genetic optimal quantization of gray-level and color images. Proc. 2nd Asian Conference on Computer Vision 2, Singapore, 1995, pp. 94-98. [Sch et al. 951 I. Scholl, J. Schwarz, T. Lehmann, R. Mosges, R. Repges. Luv-basierte Bestimmung der Rotung in digitalen Videolaryngoskopie-Bildem.
A. T. Sharpe. The spectral sensitivities of the middle- and [StoShaOO] long-wavelength-sensitive cones derived from measurements in observers of known genotype. Vision Research 40 (2000), pp. 171 1-1737. S. Zeki. The representation of colours in the cerebral cortex. hhture 284 [ZekSO] (1980), pp, 412-418. S. Zeki. A Vision ofthe Brain. Blackwell Scientific, Oxford, England, 1993. [Zek93] Digital Color Image Processing by Andreas Koschan and Mongi Abidi Copyright 0 2008 John Wiley & Sons, Inc. 3 COLOR SPACES AND COLOR DISTANCES Color is a perceived phenomenon and not a physical dimension like length or temperature, although the electromagnetic radiation of the visible wavelength spectrum is measurable as a physical quantity.