Evidence map›Paper›PMID 39369047›Full record

ArticleScientific reports2024

Automatic tiling method for mosaic ceramic art images based on subpixel edge fitting localization and collaborative operation of multiple manipulators.

Guanping Dong, Rui You, Xiaoze Xu, Xiangyu Kong, Nanshou Wu, Xiangyang Chen, Hao Feng, Zixi Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Guanping DongSchool of Mechanical and Electrical Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, China. donggp@163.com.
Rui YouSchool of Mechanical and Electrical Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, China.
Xiaoze XuSchool of Mechanical and Electrical Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, China.
Xiangyu KongInstitute of Information, Guangdong Polytechnic of Science and Trade, Guangzhou, 510430, China.
Nanshou WuSchool of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640, China.
Xiangyang ChenGuangdong Provincial Key Laboratory of Functional Soft Condensed Matter, School of Material and Energy, Guangdong University of Technology, Guangzhou, 511400, China.
Hao FengSchool of Mechanical and Electrical Engineering, Jingdezhen Ceramic University, Jingdezhen, 333403, China.
Zixi WangState Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China. zxwang@tsinghua.edu.cn.

Funding

the Fund of Guangdong Basic and Applied Basic Research Foundation No. 2023A1515110166the Fund of Science and Technology Program of Guangzhou City No.SL2023A04J01572the Fund of Science and Technology Program of Jingdezhen City No. 2023GY001-13the National Key R&D Program of China No. 2021YFB4001501the National Natural Science Foundation of China No.62461029
6 · The paper itself

Abstract

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.

Indexed as

Artistic imagesAutomatic tilingMosaic ceramicsMulti manipulator collaborationSubpixel edge fitting localization

Identifiers

PMID39369047
PMCPMC11455949

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.