2012
DOI: 10.9790/2834-0122445
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Color Image Segmentation for Medical Images using L*a*b* Color Space

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Cited by 104 publications
(68 citation statements)
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“…Pixel values for each color channel range from 0 (L*, black; a*, green; b*, blue) to 255 (L*, white; a*, red; b*, yellow), instead of the traditional 0 -100 and -127 to +127 CIEL*a*b* scales. This is because MATLAB represents L*a*b* color using unsigned 8 bit integer values, which by definition cannot be negative (see Baldevbhai and Anand, 2012, for a primer on digital representations of color spaces). MATLAB converts RGB images to CIEL*a*b* color space using the profile connection space (PCS) described the International Color Consortium guidelines for conversion (ICC;International Color Consortium, 2004).…”
Section: Image Analysis Proceduresmentioning
confidence: 99%
“…Pixel values for each color channel range from 0 (L*, black; a*, green; b*, blue) to 255 (L*, white; a*, red; b*, yellow), instead of the traditional 0 -100 and -127 to +127 CIEL*a*b* scales. This is because MATLAB represents L*a*b* color using unsigned 8 bit integer values, which by definition cannot be negative (see Baldevbhai and Anand, 2012, for a primer on digital representations of color spaces). MATLAB converts RGB images to CIEL*a*b* color space using the profile connection space (PCS) described the International Color Consortium guidelines for conversion (ICC;International Color Consortium, 2004).…”
Section: Image Analysis Proceduresmentioning
confidence: 99%
“…This indicates that hydrazine reacted with the silver nanowires rather than with the substrates, thereby reducing the b* values of the silver nanowire TCEs, which implies a reduction in the yellowing phenomena. 12 To investigate the electrical and optical properties of the silver nanowire TCEs as a function of hydrazine concentration, silver nanowire TCEs were treated with hydrazine solutions with concentrations ranging from 5 to 80 wt%. Table II shows the optical properties of silver nanowire TCEs as a function of the concentration of hydrazine.…”
Section: Resultsmentioning
confidence: 99%
“…The L*a*b* color space (also known as CIELAB or CIE L*a*b*) is one of the uniform color spaces with dimension L for lightness and a andb for the color-opponent dimensions (one color-three numbers) (Baldevbhai and Anand, 2012). The L*a*b* color space includes all perceivable colors, which means that its gamut exceeds those of the RGB and CMYK color models.…”
Section: Color-based Segmentation For Road Detection Using the L*a*b*mentioning
confidence: 99%
“…The smallest distance will tell us that the pixel most closely matches that color marker. For example, if the distance between a pixel and the red color marker is the smallest, then the pixel would be labeled as a red pixel (Baldevbhai and Anand, 2012). Creating an array that contains the color labels, i.e., Blue/Purple Band = 1, Green Band = 2, Magenta Band = 3, Cyan Band = 4, Yellow Band = 5 and Red Band = 6 will result in Bands shown in Fig.…”
Section: Color-based Segmentation For Road Detection Using the L*a*b*mentioning
confidence: 99%
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