Yuxin Du

China University of Mining and Technology, Shanxi Agricultural University

Papers

Total Citations

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About

Yuxin Du is a researcher whose work spans computer vision, image processing, and intelligent detection systems, with a particular focus on applying these technologies to challenging real-world environments. Du's early contributions addressed the formidable problem of feature recognition in underground mining settings, where poor lighting and complex surroundings make standard visual processing techniques unreliable. In a notable 2016 study that has accumulated 21 citations, Du developed an edge detection approach combining Retinex theory with wavelet multiscale product analysis, significantly advancing the capability of mine robots to perceive and navigate hazardous underground environments — a critical step toward fully automated coal mine production. More recently, Du has extended this expertise in robust visual recognition to agricultural applications, proposing DSW-YOLO, a lightweight yet high-performing object detection model built upon an improved YOLOv10n architecture designed to accurately identify green peppers under complex field conditions. This 2025 work reflects a broader trend in Du's research: engineering practical, computationally efficient solutions for detection tasks where environmental variability poses significant obstacles. Across both domains, Du demonstrates a consistent commitment to bridging advanced image processing theory with impactful, application-driven innovation.