Color Image Processing With Biomedical Applications by Rangaraj M. Rangayyan

By Rangaraj M. Rangayyan

This full-color publication starts with a close examine of the character of colour images-including average, multispectral, and pseudocolor images-and covers acquisition, qc, and exhibit 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 basically written with the (post-)graduate pupil 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 knowledge. these operating in various components reminiscent of DIP, machine imaginative and prescient, development popularity, telecommunications, seismic and geophysical functions, biomedical purposes, sanatorium info platforms, distant sensing, mapping, and geomatics might locate this ebook important of their quest to benefit complicated ideas for the research of colour or multichannel pictures.

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In a gamut-mapping algorithm, the diagonal model is adopted. Therefore, color constancy is attained in two stages. First, the set of all possible illuminants consistent with a given set of image data is recovered. Then, from this feasible set, a single illuminant is chosen as an estimate of the unknown scene illuminant. In a gamut-mapping algorithm, the diagonal model is adopted. Therefore, a set of diagonal matrices that map the sensor responses under illuminant o, [Lo , Mo , So ], to the sensor responses under the canonical illuminant c, [Lc , Mc , Sc ], is obtained.

Chroma is another perceptual attribute related to the perceived colorfulness. Chroma is the colorfulness of an area judged as a proportion of the brightness of a similarly illuminated white area. 2. Lightness is a relative perceptual attribute of a color related to the perceptual brightness. Lightness can be defined as the brightness of an area relative to the brightness of an equally illuminated white area. 1). 6 for details. 16) where δ represents the Dirac delta function; thus, the three sources of light have an amount of power equal to unity.

It should be noted that this last observation may also be explained with the chromatic adaptation process performed by the HVS [22]. The Nature and Representation of Color Images 29 The observations described above led Hering to propose the opponent color vision theory. According to Hering’s theory, three independent variables form the basis for color vision; these variables are three pairs of visual processes associated with three pairs of unique color sensations. The two members of each pair are opponents, in the sense that, at any given instant, the variable can only signal one of the two paired sensations.

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