Proceedings of the 3rd International Conference on Machine Vision, Image Processing & Imaging Technology : Volume 2 (Smart Innovation, Systems and Technologies)

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Proceedings of the 3rd International Conference on Machine Vision, Image Processing & Imaging Technology : Volume 2 (Smart Innovation, Systems and Technologies)

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  • 製本 Hardcover:ハードカバー版
  • 言語 ENG
  • 商品コード 9789819206063

Full Description

The proceedings present a collection of articles from the 3rd International Conference on Machine Vision, Image Processing & Imaging Technology (MVIPIT 2025), held from September 27 to 29, 2025, in Shenyang, China. The proceedings offer a comprehensive collection of cutting-edge research, innovative methodologies, and practical applications. Readers will find detailed analyses and results on the latest advancements in machine vision and image processing, which are crucial for developing more efficient algorithms and technologies. A key benefit of these proceedings is the exposure to novel techniques and solutions that address real-world challenges, fostering both academic and industrial advancements. Researchers, professionals, and students will gain valuable knowledge that can be applied to their own work, driving forward the field of machine vision and image processing.

Contents

C2Diff: Cine-Controllable Diffusion models for Late Gadolinium-Enhanced Cardiac MRI Synthesis.- Research on Machine Vision-Based Disordered Steel Detection Using an Improved PatchCore Method.- LIC_TCM-light: Lightweight Design and Research for TCM Image Compression Technology.- Detection of Vehicles in Remote Sensing Images Using Deep Neural Network.- Dense Video Captioning with Context Fusion and Reasoning.- Diffusion-Based Image Super-Resolution with Full-Components Wavelet Convolution.- Multi-scale Vehicle Logo Recognition based on Self- attention Mechanism and YOLOv8.- Research on a Lightweight Fatigue Driving Detection Algorithm under Different Angles.- Base Feature Point Recognition of Ratooning Rice based on Improved YOLOv8s and Binocular Stereo Vision.- An Improved Crop Pest Detection Algorithm via Fusing Self-Attention and Sample Weighting.- etc.

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