在生成对抗网络中使用新的双元元启发性损失函数进行了增强的叶疾病检测,用于热图像增强的身份块保存
Heba M Khalil1, Ahmed Elrefaiy2,3, Mostafa Elbaz4
1Department of Computer Science, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13518, Egypt.
Scientific reports
|February 14, 2026
概括
这项研究引入了一种新的生成对抗网络 (GAN) 框架,使用双元元启发式损失函数进行先进的热图像增强,显著提高了叶病检测准确度.
科学领域:
- 农业技术 农业技术
- 计算机视觉 计算机视觉
- 人工智能的人工智能
背景情况:
- 检测叶病对作物产量至关重要.
- 传统的数据增强方法在热图像的多样性和质量方面扎.
- 生成对抗网络 (GAN) 是有前途的,但对于专门的任务需要增强的损失功能.
研究的目的:
- 为生成对抗网络 (GAN) 开发一种新的双元元启发式损失函数框架.
- 为了增强热图像增强,以改善叶病的检测.
- 提高热农业数据集的数据质量和多样性.
主要方法:
- 在GAN中实现了双重元启发式损失函数框架,利用Chaoborus算法来计算生成器损失 (像素归算) 和澳大利亚Crayfish算法来计算区分器损失 (连接优化).
- 集成的身份块可以在对抗训练期间保存关键的热信号.
- 使用峰值信号噪声比 (PSNR) 和结构相似性指数测量 (SSIM) 评估图像生成质量.
- 使用ResNet-50,EfficientNet-B7,Vision Transformer和DenseNet-201架构进行疾病分类性能评估.
主要成果:
- 通过31.47dBPSNR和0.923SSIM实现了卓越的图像生成质量,超过了最先进的GAN.
- 视觉转换器在疾病分类方面实现了97.89%的准确性,这与原始 (83.45%) 和标准增强 (87.23%) 数据集相比显著改善.
- 在数据集 (84.12-95.89%的准确度) 和环境条件中展示了强大的概括性.
- 印度的现场部署实现了94.65%的平均准确率,虚假阳性/阴性率低.
结论:
- 拟议的双元元启发式GAN框架显著提高了用于农业疾病检测的热图像增强.
- 生物启发的损失功能有效地提高了图像质量,诊断完整性和分类准确性.
- 该方法表现出强大的概括性,环境稳定性和实际应用的实际可行性.
相关概念视频
Network Function of a Circuit
894
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
894
Protein Networks
4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Loss of Tumor Suppressor Gene Functions
6.1K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
When the tumor suppressor genes develop mutations or are lost, cells start growing out of control, leading to cancer. However, a single functional copy of the tumor suppressor gene is enough for the cells to maintain their normal functions and cell...
When the tumor suppressor genes develop mutations or are lost, cells start growing out of control, leading to cancer. However, a single functional copy of the tumor suppressor gene is enough for the cells to maintain their normal functions and cell...
6.1K
Trigonometric Identities II
435
Double-angle and half-angle trigonometric identities are derived from the fundamental sum and difference formulas and serve as essential tools for simplifying expressions, solving equations, and evaluating integrals. These identities reduce the complexity of trigonometric functions by relating functions of a multiple or fractional angle to functions of a single angle. Their applications extend across mathematics, physics, and engineering, particularly in Fourier analysis, wave mechanics, and...
435
Personal Identity
475
Personal identity is the deeply felt sense of self that individuals cultivate over time, intricately woven from intrinsic qualities they consider essential to their existence—qualities such as morality, intelligence, and friendliness. These attributes serve as vital internal benchmarks, guiding individuals in evaluating whether their actions resonate with their true selves.When personal identity takes center stage in one's life, individuals often emphasize their distinctiveness,...
475
Line Loss
550
The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
550


