Dong Guanping, You Rui, Xu Xiaoze, Kong Xiangyu, Wu Nanshou, Chen Xiangyang, Feng Hao, Wang Zixi
School of Mechanical and Electrical Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, China.
Institute of Information, Guangdong Polytechnic of Science and Trade, Guangzhou, 510430, China.
Sci Rep. 2024 Oct 5;14(1):23215. doi: 10.1038/s41598-024-74567-2.
Mosaic ceramics are not limited to use solely as building materials, they also possess artistic value. Artists can create images by arranging and combining mosaic ceramics, resulting in a perfect fusion of large-scale public art for external walls and ceramic materials. However, the current approach for artists to create mosaic ceramic exterior wall art images involves manual laying and assembling of individual mosaic ceramics. This manual process suffers from issues such as low efficiency, eye fatigue, selection errors, and the risk of high-altitude operations. These challenges significantly impact the quality and efficiency of creating mosaic ceramic exterior wall art image images. To address these problems, this paper proposes an automatic mosaic ceramic art image stitching method based on subpixel edge fitting positioning and collaborative operation of multiple robotic arms. Additionally, a new U + I type conveying method is designed for efficient and space-saving transportation of mosaic ceramics. Experimental results demonstrate a high success rate of recognition, absorption, and placement of multi-color mosaic ceramics using this method reaching 95.45%, with a positioning error within 0.5 mm. The method can also adapt to varying levels of light intensity or noise interference. This approach effectively enhances the quality and efficiency of creating mosaic ceramic exterior wall art images and promotes the development of mosaic ceramic exterior wall public art creation.
马赛克陶瓷并不局限于仅用作建筑材料,它们还具有艺术价值。艺术家可以通过排列和组合马赛克陶瓷来创作图像,从而实现外墙大型公共艺术与陶瓷材料的完美融合。然而,目前艺术家创作马赛克陶瓷外墙艺术图像的方法是对单个马赛克陶瓷进行手工铺设和组装。这种手工过程存在效率低下、眼睛疲劳、选择错误以及高空作业风险等问题。这些挑战严重影响了马赛克陶瓷外墙艺术图像创作的质量和效率。为了解决这些问题,本文提出了一种基于亚像素边缘拟合定位和多机器人手臂协同操作的自动马赛克陶瓷艺术图像拼接方法。此外,还设计了一种新的U + I型输送方法,用于高效、节省空间地运输马赛克陶瓷。实验结果表明,使用该方法对多色马赛克陶瓷进行识别、吸附和放置的成功率很高,达到95.45%,定位误差在0.5毫米以内。该方法还能适应不同程度的光照强度或噪声干扰。这种方法有效地提高了马赛克陶瓷外墙艺术图像创作的质量和效率,促进了马赛克陶瓷外墙公共艺术创作的发展。