Topic
Color gradient
About: Color gradient is a research topic. Over the lifetime, 582 publications have been published within this topic receiving 9126 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors present a method that enhances the harmony among the colors of a given photograph or of a general image, while remaining faithful, as much as possible, to the original colors.
Abstract: Harmonic colors are sets of colors that are aesthetically pleasing in terms of human visual perception. In this paper, we present a method that enhances the harmony among the colors of a given photograph or of a general image, while remaining faithful, as much as possible, to the original colors. Given a color image, our method finds the best harmonic scheme for the image colors. It then allows a graceful shifting of hue values so as to fit the harmonic scheme while considering spatial coherence among colors of neighboring pixels using an optimization technique. The results demonstrate that our method is capable of automatically enhancing the color "look-and-feel" of an ordinary image. In particular, we show the results of harmonizing the background image to accommodate the colors of a foreground image, or the foreground with respect to the background, in a cut-and-paste setting. Our color harmonization technique proves to be useful in adjusting the colors of an image composed of several parts taken from different sources.
455 citations
23 Aug 1978
TL;DR: Several color spaces are presented which are suitable for applications involving user specification of color, along with the defining equations and illustrations, and the use of special color spaces for particular kinds of color computations is discussed.
Abstract: Normal human color perception is a product of three independent sensory systems. By mirroring this mechanism, full-color display devices create colors as mixtures of three primaries. Any displayable color can be described by the corresponding values of these primaries. Frequently it is more convenient to define various other color spaces, or coordinate systems, for color representation or manipulation. Several such color spaces are presented which are suitable for applications involving user specification of color, along with the defining equations and illustrations. The use of special color spaces for particular kinds of color computations is discussed.
371 citations
TL;DR: Zhang et al. as mentioned in this paper put forward a new method of co-occurrence matrix to describe image features, which can express the spatial correlation of textons, and quantized the original images into 256 colors and computed color gradient from the RGB vector space.
192 citations
1 Sep 2005
TL;DR: This paper investigates the design, development, and implementation of a robust color gradient vector flow (GVF) active contour model for performing segmentation, using a database of 1791 imaged cells and shows the results were superior to the other unsupervised approaches, and comparable with supervised segmentation.
Abstract: One of the most commonly used clinical tests performed today is the routine evaluation of peripheral blood smears. In this paper, we investigate the design, development, and implementation of a robust color gradient vector flow (GVF) active contour model for performing segmentation, using a database of 1791 imaged cells. The algorithms developed for this research operate in Luv color space, and introduce a color gradient and L/sub 2/E robust estimation into the traditional GVF snake. The accuracy of the new model was compared with the segmentation results using a mean-shift approach, the traditional color GVF snake, and several other commonly used segmentation strategies. The unsupervised robust color snake with L/sub 2/E robust estimation was shown to provide results which were superior to the other unsupervised approaches, and was comparable with supervised segmentation, as judged by a panel of human experts.
188 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 5 |
| 2020 | 10 |
| 2019 | 23 |
| 2018 | 19 |
| 2017 | 11 |
| 2016 | 14 |