Suchergebnisse - multi-level computer vision algorithm

Multi-level image thresholding using Otsu and chaotic bat algorithm von Satapathy, Suresh Chandra, Sri Madhava Raja, N., Rajinikanth, V., Ashour, Amira S., Dey, Nilanjan

“… Multi-level thresholding is a helpful tool for several image segmentation applications …”
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An enhanced chameleon swarm algorithm for global optimization and multi-level thresholding medical image segmentation von Mostafa, Reham R., Houssein, Essam H., Hussien, Abdelazim G., Singh, Birmohan, Emam, Marwa M.

“… Medical image segmentation is crucial in using digital images for disease diagnosis, particularly in post-processing tasks such as analysis and disease …”
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A multi-level thresholding image segmentation algorithm based on equilibrium optimizer von Hu, Pei, Han, Yibo, Zhang, Zheng, Chu, Shu-Chuan, Pan, Jeng-Shyang

“… This paper proposes an equilibrium optimizer algorithm to find the optimal multi-level thresholds for grayscale images …”
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Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images von Houssein, Essam H., Emam, Marwa M., Ali, Abdelmgeid A.

“… Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to people’s safety and health. Many algorithms were developed to identify COVID-19 …”
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MLCA2F: Multi-Level Context Attentional Feature Fusion for COVID-19 lesion segmentation from CT scans von Bakkouri, Ibtissam, Afdel, Karim

“… To bridge these gaps, this study presents a robust deep learning model based on a novel multi-scale contextual information fusion strategy, called Multi-Level Context Attentional Feature Fusion (MLCA2F …”
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Application of multi-level adaptive neural network based on optimization algorithm in image style transfer von Li, Hong-an, Wang, Lanye, Liu, Jun

“… This paper proposed a multi-level adaptive arbitrary style transfer network and adopted a multi-level strategy to integrate multi-level context information in a progressive manner …”
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Multi-level Contrastive Learning for Self-Supervised Vision Transformers von Mo, Shentong, Sun, Zhun, Li, Chao

“… , even in their shallow layers. Motivated by this, we present a simple yet effective framework to facilitate the self-supervised feature learning of transformer based vision architectures, namely, Multi-level Contrastive learning …”
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Enhanced wheat crop leaf disease classification using multi-level contrast enhancement and modified vision transformers von Haider, Irfan, Nazir, Muhammad, Khan, Sajid Ali, Aladhadh, Suliman, Ramzan, Muhammad, Habib, Mohamed I.

“… Efficient disease detection is crucial for effective treatment and yield optimization. This study presents an innovative approach that combines a multi-level contrast …”
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APMLF-YOLO: a progressive multi-level feature fusion algorithm for industrial PCB tiny defect detection von Wang, Shoubin, Li, Kun, Peng, Guili, Gao, Pengcheng, Xing, Zhihan, Zhang, Hanrui, Gao, Zimeng, Li, Youbing, Fang, Xinchang, Jing, Lewei

“… Therefore, this paper proposes a high-precision defect detection model called the attention and multi-level feature fusion YOLO algorithm (APMLF-YOLO …”
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A Multi-Level Interpretable Sleep Stage Scoring System by Infusing Experts' Knowledge Into a Deep Network Architecture von Niknazar, Hamid, Mednick, Sara C.

“… In recent years, deep learning has shown potential and efficiency in a wide area including computer vision, image and signal processing …”
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Infrared and visible image perceptive fusion through multi-level Gaussian curvature filtering image decomposition von Tan, Wei, Zhou, Huixin, Song, Jiangluqi, Li, Huan, Yu, Yue, Du, Juan

“… To attain this purpose, a fusion algorithm based on multi-level Gaussian curvature filtering (MLGCF …”
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Robust block-based watermarking algorithm with parallelization using multi-level discrete wavelet transformation von Yadav, Akash, Goyal, Jitendra, Ahmed, Mushtaq

“… In this paper, we introduce a novel block-based parallelized watermarking method. Our proposed approach hides binary watermarks within grayscale images by employing multi-level discrete wavelet transformation on image blocks in parallel …”
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Stacked Cross Refinement Network for Edge-Aware Salient Object Detection von Wu, Zhe, Su, Li, Huang, Qingming

“… Salient object detection is a fundamental computer vision task. The majority of existing algorithms focus on aggregating multi-level features of pre-trained convolutional neural networks …”
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Multi-level optimal fusion algorithm for infrared and visible image von Jian, Bo-Lin, Tu, Ching-Che

“… Image fusion technology has been widely used in analyzing fusion effect under various settings. This paper proposed the image fusion method suitable for both …”
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2MGAS-Net: multi-level multi-scale gated attentional squeezed network for polyp segmentation von Bakkouri, Ibtissam, Bakkouri, Siham

“… To address these challenges, this paper introduces the Multi-level Multi-scale Gated Attentional Squeezed Network (2MGAS-Net …”
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Multi-level perception fusion dehazing network von Wu, Xiaohua, Li, Zenglu, Guo, Xiaoyu, Xiang, Songyang, Zhang, Yao

“… or structurally flawed dehazing outcomes. To address these challenges, we propose a multi-level perception fusion dehazing network (MPFDN …”
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Multi‐Level Implicit Function for Detailed Human Reconstruction by Relaxing SMPL Constraints von Ma, Xikai, Zhao, Jieyu, Teng, Yiqing, Yao, Li

“… Aiming at enhancing the rationality and robustness of the results of single‐view image‐based human reconstruction and acquiring richer surface details, we propose a multi …”
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SMFF-YOLO: A Scale-Adaptive YOLO Algorithm with Multi-Level Feature Fusion for Object Detection in UAV Scenes von Wang, Yuming, Zou, Hua, Yin, Ming, Zhang, Xining

“… In this paper, we present a novel scale-adaptive YOLO framework called SMFF-YOLO, which addresses these challenges through a multi-level feature fusion approach …”
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Evolutionary multi-level acyclic graph partitioning von Moreira, Orlando, Popp, Merten, Schulz, Christian

“… This enables the utilization of graph partitioning algorithms for the problem of parallelizing execution on multiprocessor architectures under hardware resource constraints …”
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EEMC: An energy-efficient multi-level clustering algorithm for large-scale wireless sensor networks von Jin, Yan, Wang, Ling, Kim, Yoohwan, Yang, Xiaozong

“… Motivated by the analysis, we propose an energy-efficient multi-level clustering algorithm called EEMC, which is designed to achieve minimum energy consumption in sensor networks …”
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