Toward color image segmentation in analog VLSI: Algorithm and hardware

@article{Perez2005TowardCI,
  title={Toward color image segmentation in analog VLSI: Algorithm and hardware},
  author={Frank Perez and Christof Koch},
  journal={International Journal of Computer Vision},
  year={2005},
  volume={12},
  pages={17-42}
}
  • F. Perez, C. Koch
  • Published 1 February 1994
  • Computer Science
  • International Journal of Computer Vision
Standard techniques for segmenting color images are based on finding normalized RGB discontinuities, color histogramming, or clustering techniques in RGB or CIE color spaces. The use of the psychophysical variable hue in HSI space has not been popular due to its numerical instability at low saturations. In this article, we propose the use of a simplified hue description suitable for implementation in analog VLSI. We demonstrate that if theintegrated white condition holds, hue is invariant to… 

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References

SHOWING 1-10 OF 71 REFERENCES

Color gamut transform pairs

TLDR
A set of alternative models of the RGB monitor gamut based on the perceptual variables hue, saturation, and value (V) or brightness (L) are presented and algorithms for transforming between these models are derived.

A color clustering technique for image segmentation

  • M. Celenk
  • Computer Science
    Comput. Vis. Graph. Image Process.
  • 1990

Expansion of color images using three perceptual attributes

  • S. Tominaga
  • Environmental Science
    Pattern Recognit. Lett.
  • 1987

An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models

TLDR
A color matching experiment in which subjects used one of two tablet-based input techniques, interfaced through one of five color models, to interactively match target colors displayed on a CRT shows small but significant differences between models in the ability of subjects to match the five target colors.

The measurement of highlights in color images

TLDR
An approach to color image understanding that accounts for color variations due to highlights and shading, and presents a method that exploits the difference between object color and highlight color to separate the color of every pixel into a matte component and a highlight component.

Using color to separate reflection components

TLDR
This paper presents an algorithm for analyzing a standard color image to determine intrinsic images of the amount of interface (specular) and body (diffuse) reflection at each pixel, based upon a physical model of reflection.

Color information for region segmentation

A physical approach to color image understanding

  • G. Klinker
  • Physics
    International Journal of Computer Vision
  • 2004
TLDR
An approach to color image understanding that can be used to segment and analyze surfaces with color variations due to highlights and shading and is capable of generating physical descriptions of the reflection processes occurring in the scene.

A color classification method for color images using a uniform color space

  • S. Tominaga
  • Art
    [1990] Proceedings. 10th International Conference on Pattern Recognition
  • 1990
TLDR
A color classification method that partitions color image data into a set of uniform color regions is described, showing that a fundamental set of colors composing an image with shades and shadows is extracted at the basic classification stage and that the objects in the original image are extracts at the reclassification stage.

Color vision and image intensities: When are changes material?

TLDR
In this paper, a preliminary goal for color vision is proposed and analyzed, and it is shown there is a minimal and unique condition, the spectral crosspoint, that rejects instances of these confounding processes.
...