By Rangaraj M. Rangayyan
This full-color publication starts with an in depth research of the character of colour images-including normal, multispectral, and pseudocolor images-and covers acquisition, qc, and show of colour photographs, in addition to problems with noise and artifacts in colour pictures and segmentation for the detection of areas of curiosity or items. The booklet is essentially written with the (post-)graduate scholar in brain, yet practising engineers, researchers, desktop scientists, details technologists, clinical physicists, and data-processing experts also will reap the benefits of its intensity of data. these operating in diversified parts reminiscent of DIP, laptop imaginative and prescient, trend attractiveness, telecommunications, seismic and geophysical purposes, biomedical purposes, health center details structures, distant sensing, mapping, and geomatics may possibly locate this ebook precious of their quest to profit complex innovations for the research of colour or multichannel pictures.
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Additional resources for Color Image Processing With Biomedical Applications
Modern color vision theory combines both trichromatic and opponent color theories. First, according to the trichromatic theory, three types of cones, L, M , and S, perceive colors. 13, the responses are combined into two opponent-color chromatic channels (R − G and Y − B, where Y stands for yellow) and one achromatic channel. A positive signal in the R − G channel indicates red, and a negative signal indicates green. In the same way, when the Y − B channel exhibits a positive signal, yellow is perceived, whereas a negative signal indicates blue .
918 2. The Bradford chromatic adaptation transform: Lam  conducted a psychophysical experiment to measure the chromatic adaptation of the HVS. The Bradford chromatic adaptation transform was developed based on the measures derived by Lam. The first of the three steps of this transform involves transformation from the XY Z to the LM S coordinates. To perform this transformation, rather than using the Hunt-Pointer-Estevez transform, the Bradford transform uses another matrix that corresponds to a translation from the XY Z space to another space that does not correspond to the LM S cone space.
Typical values range from 100, 000 lx for direct sunlight to 20 − 50 lx for hospital corridors at night. 8. Luminance, with the symbol Lv , is analogous to radiance, being derived as Ev = Lv = d2 Φv . 11) The unit of luminance is the nit, expressed in cd/m2 or lm/(sr m2 ). It is most often used to characterize the “brightness” of flat emitting or reflecting surfaces; that is, luminance is the photometric quantity corresponding best to the brightness perceived by the eye [40,46]. A typical laptop computer screen has luminance between 100 and 250 nits.