基于视觉传达特征的艺术品颜色分拣方法优化

Art Color Sorting Method Based on Visual Communication Features

为了提高对艺术品的三维重构和分拣能力,提出一种基于视觉传达的艺术品颜色分拣方法.采用颜色特征提取方法进行艺术品视觉图像的三维重构,结合稀疏散乱点重组方法进行艺术品图像的颜色特征区域分割处理;采用纹理跟踪匹配方法进行艺术品的图像信息融合,结合角点检测和三维边缘轮廓特征检测方法实现艺术品颜色分拣的纹理填充和自动渲染,提高艺术品图形的颜色视觉特征表达能力;采用全局颜色均衡配置方法进行艺术品的视觉特征采样和均衡处理,根据均衡配置结果采用模糊聚类方法实现对艺术品的颜色特征分拣,提高艺术品的三维重构和分拣辨识能力.仿真结果表明:采用该方法进行艺术品颜色分拣的准确性较高,对艺术品视觉重构的效果较好,提高了艺术品的三维重建和自动分拣能力.

In order to improve the ability of 3D reconstruction and sorting of artwork,a color sorting method based on visual communication is proposed.The method of color feature extraction is used to reconstruct 3D image of artwork.Combining the sparse scattered point recombination method,the color feature region of the artwork image is segmented,and the texture tracking matching method is used to fuse the image information of the artwork.Combining corner detection and 3D edge contour feature detection,texture filling and automatic rendering of artwork color sorting can be realized,and the ability of color visual feature expression of artwork graphics can be improved.The global color equalization method is used to sample and equalize the visual features of artwork,according to the result of equalization,fuzzy clustering method is used to classify the color features of artworks,and thus to improve the ability of 3D reconstruction and sorting and identification of works of artwork.The simulation results show that this method is more accurate in color sorting of artworks and has better effect on visual reconstruction of works of art and improves the ability of 3D reconstruction and automatic sorting of artwork.