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A novel image retrieval algorithm for computer aided color design

机译:一种新型的计算机辅助色彩设计图像检索算法

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At any time in the process of product color design, designers need to initialize a color design scheme and then use it to retrieve existing similar designs from related products, for referencing and stimulating the ideas of color design. Previous researches on color image retrieval consider the color of an image as a whole eigenvector for efficient computation of color similarity. But they are not suitable for a computer aided color design tool development. In this paper, we propose a framework of a computer aided color design tool and a novel image retrieval algorithm based on a layered HSV model to calculate H, S and V histogram similarity separately and apply them sequentially to retrieve related color designs gradually. The experimental results show that the proposed color design tool can assist designers to effectively retrieve similar color design images for referencing based on a user specified color design scheme.
机译:在产品色彩设计过程中的任何时候,设计人员都需要初始化色彩设计方案,然后使用该方案从相关产品中检索现有的相似设计,以参考和激发色彩设计的思想。先前关于彩色图像检索的研究将图像的颜色作为整体特征向量考虑,以有效地计算颜色相似度。但是它们不适合用于计算机辅助色彩设计工具的开发。在本文中,我们提出了一个计算机辅助色彩设计工具的框架和一种基于分层HSV模型的新颖图像检索算法,以分别计算H,S和V直方图相似度,并依次应用它们以逐步检索相关色彩设计。实验结果表明,所提出的色彩设计工具可以帮助设计人员基于用户指定的色彩设计方案有效地检索相似的色彩设计图像以供参考。

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