By Rangaraj M. Rangayyan
This full-color ebook starts off with an in depth examine of the character of colour images-including ordinary, multispectral, and pseudocolor images-and covers acquisition, qc, and show of colour photos, in addition to problems with noise and artifacts in colour pictures and segmentation for the detection of areas of curiosity or items. The e-book is basically written with the (post-)graduate scholar in brain, yet working towards engineers, researchers, machine scientists, details technologists, clinical physicists, and data-processing experts also will take advantage of its intensity of data. these operating in diversified parts corresponding to DIP, machine imaginative and prescient, development popularity, telecommunications, seismic and geophysical functions, biomedical functions, clinic info structures, distant sensing, mapping, and geomatics may well locate this e-book helpful of their quest to benefit complicated thoughts for the research of colour or multichannel photographs.
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Extra info for Color Image Processing With Biomedical Applications
See the list of symbols and abbreviations on page xxi for details regarding the symbols and acronyms used. 2 The visible color spectrum displayed in the form of a double rainbow over the Canadian Rocky Mountains in Kananaskis near Calgary, Alberta, Canada. Image courtesy of Chris Pawluk. reproduce the widest possible range of colors visible to or sensed by the human visual system (HVS). The choice of a particular color space is determined by the application. 1 Color Perception by the Human Visual System Three factors are involved in color perception: the light source incident on an object, the reflectance of the object, and finally, the color sensitivity of the receptor (the human eye or a detector).
7, the CIE XY Z (1931) space is defined such that all visible colors can be defined using only positive values; the Y value represents luminance. However, due to the conditions required to achieve this aim, the colors of the XY Z primaries are themselves not visible. Although the XY Z tristimulus values do not correlate to color attributes, important color attributes are related to the relative magnitudes of the tristimulus values, called the chromaticity coordinates. 70) y= Y . 71) This color representation system is referred to as Y xy.
In other words, the observer added hue (red or green and blue or yellow) to the sample until the stimulus turned white. 12. The model correctly predicts the locations of the unique hues, which are located at the zero-crossing points of the red-green and blue-yellow variables; that is, at 578 nm, where a zero crossing of the red-green function is located, pure yellow is found . 12, if the wavelength is varied from low to high values along the entire visible spectrum, first the blue-reds are located, followed by pure blue where the red-green function crosses the zero line.
Color Image Processing With Biomedical Applications by Rangaraj M. Rangayyan