Proceedings of the 3rd International Conference on Machine Vision, Image Processing & Imaging Technology : Volume 2 / edited by Bin Wang, Chao Ren, Chen Li.

Format:

Book

Author/Creator:

Wang, Bin.

Series:

Smart Innovation, Systems and Technologies, 2190-3026 ; 501

Language:

English

Subjects (All):

Computer vision.

Image processing.

Computer Vision.

Image Processing.

Local Subjects:

Computer Vision.

Image Processing.

Physical Description:

1 online resource (546 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

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.

Notes:

Print version record.

ISBN:

9789819206070

OCLC:

1610748700