雜志介紹

Machine Vision And Applications雜志介紹

《Machine Vision And Applications》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱機器視覺與應(yīng)用，本刊主要出版、報道計算機科學(xué)-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為2.4，最新CiteScore 指數(shù)為6.3。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• A method for high dynamic range 3D color modeling of objects through a color camera

  Author: Zhang, Yanan; Qiao, Dayong; Xia, Changfeng; Yang, Di; Fang, Shilei

• Automatic cables segmentation from a substation device based on 3D point cloud

  Author: Yuan, Qianjin; Chang, Jing; Luo, Yong; Ma, Tianlei; Wang, Dongshu

• SiamMMF: multi-modal multi-level fusion object tracking based on Siamese networks

  Author: Yang, Zhen; Huang, Peng; He, Dunyun; Cai, Zhongwang; Yin, Zhijian

• RAU-Net: U-Net network based on residual multi-scale fusion and attention skip layer for overall spine segmentation

  Author: Yang, Zhaomin; Wang, Qi; Zeng, Jianchao; Qin, Pinle; Chai, Rui; Sun, Dong

英文介紹

Machine Vision And Applications雜志英文介紹

Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal.

Particular emphasis is placed on engineering and technology aspects of image processing and computer vision.

The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component.