Multi-Level Thresholding Color Image Segmentation Using Modified Gray Wolf Optimizer by Pei Hu, Yibo Han, Zheng Zhang

“…The success of image segmentation is mainly dependent on the optimal choice of thresholds. …”
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Radar Compound Jamming Recognition Based on Image Segmentation and Fused Attention Residual Network by Peishan Li, Jian Yang, Jiaao Lin

“…Compound jamming is difficult to recognize due to a wide array of diverse compound patterns. To address this issue, this study proposes a method for the segmentation and recognition of compound jamming signals. …”
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Decom-UNet3+: A Retinal Vessel Segmentation Method Optimized With Decomposed Convolutions by Qun Li, Juntao Zhang, Licheng Hua, Songyin Fu, Chenjie Gu

“…The intricate and highly branched structure of retinal blood vessels, along with the fragility of fine vessels, makes segmentation a challenging task. To address this issue, we propose Decom-UNet3+, a model that optimizes the encoders by employing decomposed convolutions. …”
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Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

“…To address this issue, this study proposes a generative adversarial network (GAN) based on global and local feature information (GLGAN) for hippocampus segmentation. …”
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Intravitreal systems for targeted drug delivery to the posterior eye segment: a systematic review by Elizaveta R. Orlova, Aleksandr V. Gorobets, Dmitry A. Dorofeev, Elena V. Kirilik, Irina V. Kozlova

“…Background — Intravitreal implants solve a number of serious problems arising in diseases of the posterior segment of the eyeball. Unlike intravitreal injections, the implant provides a prolonged release of a pharmaceutical drug over time. …”
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Semantic segmentation of mix loading at asphalt mixing plant based on improved U-Net by Li Dongli, Cheng Gaoli, Guo Tao, Xia Xiaohua

“…Aiming at the existing asphalt mixing plant mixture loading semantic segmentation methods with low Mean Intersection over Union(mIoU) values and slow detection speed, a lightweight network RCS-UNet is proposed for semantic segmentation of asphalt mixing plant mixture loading state.Firstly, residual connections are integrated into the U-Net network to mitigate the gradient vanishing issue, promoting stability during training, enhancing convergence speed, and improving generalization abilities. …”
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Oil-in-water segmented flow in the optimized microfluidic system for surfactant-free ultrasonic emulsification by Hyeonji Hong, Eunbi Lee, Seonae Hwangbo, Il Doh

“…However, conventional methods rely on surfactants, which pose potential toxicity and environmental concerns. To address this issue, we developed a microfluidic device for surfactant-free oil droplet generation, serving as a pre-processing stage for ultrasonic emulsification. …”
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An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance by Gaohui Liu, Xiaqiang Chu

“…To address the output saturation issue in classical bistable stochastic resonance systems during the enhancement of weak orthogonal frequency division multiplexing (OFDM) signals, which results in low noise utilization efficiency, this study proposes an enhancement and demodulation technique based on a segmented asymmetric bistable stochastic resonance (SABSR) system. …”
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Semantic Segmentation-Driven Knowledge Distillation-Based Infrared Visible Image Fusion Framework by Xingshuo Wang

“…However, many existing fusion algorithms overly emphasize visual quality and traditional statistical evaluation metrics while neglecting the requirements of real-world applications, especially in high-level vision tasks. To address this issue, this paper proposes a semantic segmentation-driven image fusion framework based on knowledge distillation. …”
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Replica attack detection method for vehicular ad hoc networks with sequential trajectory segment by Yan Xin, Xia Feng

“…For detecting identity replicas in vehicular ad hoc networks, we propose a detection method with sequential trajectory segment based on semi-supervised support vector machine. …”
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Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis by Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

“…A critical issue in image analysis for analyzing animal behavior is accurate object detection and tracking in dynamic and complex environments. …”
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Seg-Eigen-CAM: Eigen-Value-Based Visual Explanations for Semantic Segmentation Models by Ching-Ting Chung, Josh Jia-Ching Ying

“…However, in this study, we highlight a common issue with gradient-based methods when generating visual explanations—these methods tend to emphasize background information, resulting in significant noise, especially when dealing with image segmentation tasks involving complex or cluttered backgrounds. …”
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Elevator Operation Health Diagnosis using Vibration Region Segmentation Algorithm via Internet by Lin Hsiung-Cheng, Peng Yan-Hao

“…The safety of elevator operation is an indispensable issue in the elevator industry. The most important factor affecting the elevator performance is car vibration. …”
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SNN-Based Semantic Segmentation Method Using Adaptive Threshold and Multi-Feature Fusion by HUANG Yongbin, LI Chen, DONG Wenbo, LIU Shunlian

“…However, SNNs exhibit deficiencies such as limited feature expression and low result accuracy when utilized for complex tasks such as semantic segmentation. To address this issue, this paper proposes a SNN-based semantic segmentation methodology using adaptive thresholds for spike triggering and multi-feature fusion. …”
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Experimental and Numerical Investigation of One-Dimensional Electroosmotic Consolidation Based on Segment Inheritance Strategy by Xiaoyu Yang, Meijuan Pei, Yongbin Xie, Xinhai Zhou, Xuguang Dong

“…The time-dependent nature of the potential distribution due to the attenuation of effective potential contradicts the assumption of introducing intermediate variables. To address this key issue, the variation curve of the effective potential was linearly segmented, ensuring the validity of introducing intermediate variables within each local state segment. …”
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Mitigating catastrophic forgetting in Multiple sclerosis lesion segmentation using elastic weight consolidation by Luisana Álvarez, Sergi Valverde, Àlex Rovira, Xavier Lladó

“…Multiple sclerosis (MS) lesion segmentation is crucial for monitoring disease progression. …”
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Canopy Segmentation of Overlapping Fruit Trees Based on Unmanned Aerial Vehicle LiDAR by Shiji Wang, Jie Ji, Lijun Zhao, Jiacheng Li, Mian Zhang, Shengling Li

“…Utilizing LiDAR sensors mounted on unmanned aerial vehicles (UAVs) to acquire three-dimensional data of fruit orchards and extract precise information about individual trees can greatly facilitate unmanned management. To address the issue of low accuracy in traditional watershed segmentation methods based on canopy height models, this paper proposes an enhanced method to extract individual tree crowns in fruit orchards, enabling the improved detection of overlapping crown features. …”
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Towards Sustainable Consumption: Consumer Behavior and Market Segmentation in the Second-Hand Clothing Industry by Răzvan-Andrei Corboș, Ovidiu-Iulian Bunea, Monica Triculescu

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Semi-Supervised Nuclei Instance Segmentation with Category-Adaptive Sampling and Region-Adaptive Attention by Xunci Li, Die Luo, Zimei Wei, Junan Long, Zhiwei Ye

“…To address this issue, this paper proposes a network based on category-adaptive sampling and attention mechanisms for semi-supervised nuclei instance segmentation. …”
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An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

“…Accurate identification and localization of crops and weeds are essential for achieving automated weed management in precision agriculture, especially given the challenges in recognition accuracy and real-time processing in complex field environments. To address this issue, this paper proposes an efficient crop-weed segmentation model based on an improved UNet architecture and attention mechanisms to enhance both recognition accuracy and processing speed.MethodsThe model adopts the encoder-decoder structure of UNet, utilizing MaxViT (Multi-Axis Vision Transformer) as the encoder to capture both global and local features within images. …”
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