I1I2I3 color space
The I1I2I3 color space is a computer-optimized space for image processing .
Explanation
Since color spaces that colors by the human perception appropriate parameters (such. As hue , brightness , saturation ) type, for many image-processing systems are unsuitable for this purpose were more color models developed.
To be suitable for image processing , a color space should meet the following criteria:
- Compact storage of relevant color information (a clear separation of color and brightness information ).
- Quick and easy conversion to and from other color spaces.
- No jump points or singularities that make segmentation of the data difficult (perceptual models have a jump point in the color tone at 360 °).
- Simple segmentation of regions based on color information.
The latter aspect was examined more closely by Ohta (1985). Ohta divided images into regions of similar color information using the histograms . Ohta experimentally determined the color features I1, I2 and I3 to be particularly effective for segmentation , which resulted in a new color space that is particularly suitable for such image processing processes. The following matrix shows the conversion from RGB to the I1I2I3 color space :
The I1 channel corresponds to the gray value axis of the RGB model. The channels I2 and I3, however, contain the color information.
Source
W. Hafner: Segmentation of video image sequences by adaptive color classification . Dissertation at the Institute for Computer Science at the Technical University of Munich, 1999, pp. 56–58.
Y. Ohta: Knowledge-based Interpretation of Outdoor Natural Color Scenes . Pitman Advanced Publishing Program, Boston / London / Melbourne 1985, pp. 12ff.
See also
- Color space (further color spaces, color space systems, color models)
Web links
Individual evidence
- ↑ Hafner, 1999