SLCOBNet:具有重叠分割和贝叶斯-DM计数损失的对虾幼体计数网络

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
Yang Qu , Sheng Jiang , Daoliang Li , Ping Zhong , Zhencai Shen
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引用次数: 0

摘要

估算对虾幼体数量对实现水产养殖中的合理喂养起着至关重要的作用。然而,由于失去了对虾幼体的连续性信息,以往的对虾幼体计数模型无法准确区分对虾幼体和其他物体。此外,虾幼体计数还面临多尺度变化、透明体重叠和背景噪声等挑战。为解决上述问题,本文提出了一种名为 SLCOBNet 的新型虾幼体计数网络。首先,设计了重叠分割图像,每个斑块共享一半面积,确保斑块间虾幼体信息的连续性。然后,通过特征金字塔聚合和多尺度感受野回归头,分别获得不同尺度的虾幼虫特征和多尺度密度图。此外,针对目前存在的透明体重叠和背景噪声问题,设计了一种由DM-Count损失和贝叶斯损失组成的新型损失函数,即贝叶斯-DM-Count损失。实验是通过收集实际水产养殖场养殖盘中的对虾幼体数据进行的。三个对虾幼体数据集的大量实验结果表明,SLCOBNet 的平均绝对误差分别为 3.27、3.61 和 1.28。因此,与其他计数方法相比,所提出的方法具有更高的计数精度。此外,预测结果与真实值一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SLCOBNet: Shrimp larvae counting network with overlapping splitting and Bayesian-DM-count loss

Estimating the number of shrimp larvae plays a critical role for achieving reasonable feeding in aquaculture. However, previous shrimp larvae counting models failed to accurately distinguish between shrimp larvae and other objects due to the loss of shrimp larvae continuity information. Also, shrimp larvae counting has the challenges of multi-scale changes, transparent body overlap, and background noise. To solve the above problems, a novel shrimp larvae counting network called SLCOBNet is proposed. First, overlapping splitting image is devised, with each patch sharing half of its area, ensuring the continuity of information regarding shrimp larvae between patches. Then, shrimp larvae feature of different scales and multi-scale density maps are obtained through the feature pyramid aggregation and the regression head with multi-scale receptive fields, respectively. Moreover, a novel loss function called Bayesian-DM-Count loss, composed of DM-Count loss and Bayesian loss, was designed to address the existing transparent body overlap and background noise problems. Experiments were performed by collecting shrimp larvae data from the breeding trays of a real aquaculture farm. The extensive experimental results on three shrimp larvae datasets have shown that SLCOBNet achieves 3.27, 3.61 and 1.28 in Mean Absolute Error. Hence, the proposed method exhibits a better counting accuracy compared to other counting methods. Furthermore, the predicted results were consistent with the true values.

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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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