专题:Image and Object Detection Techniques

This cluster of papers focuses on robust line and curve detection using the Hough Transform, including techniques for line detection, circle and ellipse fitting, randomized algorithms, computer vision applications, edge detection, geometric fitting, and statistical optimization.
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Benchmarking YOLOv8–YOLOv12 for Real-Time Object Detection on Single-Board Computers

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A Comparative Analysis of Shape Descriptors in Deep Learning-Based Real-Time Object Detection

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Hierarchical Multi-Modal Enhancement for Robust Transmission Line Detection

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Uncertainty-Aware Gradient Stabilization for Small Object Detection

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Multitarget workpiece geometric dimension measurement system based on image analysis

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E 2 -Former: An Edge-Enhanced Transformer for UAV-Based Small Object Detection

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A telecentric vision system tailored for high-precision dimensional measurement: Calibration and subpixel edge detection

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ED-DETR: An edge-guided dual-branch feature optimization network for enhanced small object detection in UAV images

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Refining Image Edge Detection via Linear Canonical Riesz Transforms

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AI-driven detection of metal contaminants in construction and demolition wood waste for enhanced valorisation

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