Single-View Measurement Method for Egg Size Based on Small-Batch Images.

Chengkang Liu, Qiaohua Wang, Meihu Ma, Zhihui Zhu, Weiguo Lin, Shiwei Liu, Wei Fan

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Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

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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.

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1 citing paper in PubMed.

Explainable YOLO architectures for egg size measurement and classification.Scientific reports · 2026
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5 · Who and what money

Authors and funding

7 authors.

Chengkang LiuCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.

Qiaohua WangCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0003-3404-6907

Meihu MaCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

Zhihui ZhuCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.

Weiguo LinCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.

Shiwei LiuCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-5389-1930

Wei FanCollege of Engineering, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0003-1967-5043

Funding

Fundamental Research Funds for the Central Universities No.2662022GXYJ004National Natural Science Foundation of China No.31871863 422National Natural Science Foundation of China No.32072302

6 · The paper itself

Abstract

Egg size is a crucial indicator for consumer evaluation and quality grading. The main goal of this study is to measure eggs' major and minor axes based on deep learning and single-view metrology. In this paper, we designed an egg-carrying component to obtain the actual outline of eggs. The Segformer algorithm was used to segment egg images in small batches. This study proposes a single-view measurement method suitable for eggs. Experimental results verified that the Segformer could obtain high segmentation accuracy for egg images in small batches. The mean intersection over union of the segmentation model was 96.15%, and the mean pixel accuracy was 97.17%. The R-squared was 0.969 (for the long axis) and 0.926 (for the short axis), obtained through the egg single-view measurement method proposed in this paper.

Indexed as

actual outline of eggsdeep learningegg-carrying componentimage segmentationsingle-view metrology

Identifiers

PMID36900453

DOI10.3390/foods12050936

PMCPMC10000608

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