Air-Cell Segmentation Algorithm of the Breeding Egg Based on Attention and Lightweight DeeplabV3+
Pages 29 - 35
Abstract
The monitoring accuracy and efficiency of the hatching process of hatching eggs can be realized by accurately and fast judging the changes of the air-cell. Aiming at the problem of air-cell segmentation of the egg-candling image, according to the nature of the different light transmittance inside the egg, An Air-cell segmentation dataset for breeding eggs was made, by Manually annotate and extract the collected egg images. This presents an algorithm based on attention mechanism and lightweight DeeplabV3+ seed gas chamber segmentation.
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Index Terms
- Air-Cell Segmentation Algorithm of the Breeding Egg Based on Attention and Lightweight DeeplabV3+
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Published In
November 2022
87 pages
ISBN:9781450397070
DOI:10.1145/3578339
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Association for Computing Machinery
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Publication History
Published: 13 March 2023
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- Research
- Refereed limited
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- Postgraduate Cultivating Innovation and Quality Improvement Action Plan of Henan University
- Outstanding Foreign Scientist Studio of Henan
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BDSIC 2022
BDSIC 2022: 2022 4th International Conference on Big-data Service and Intelligent Computation
November 25 - 27, 2022
Xiamen, China
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