IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision.

IET Computer Vision welcomes submissions on the following topics:

Biologically and perceptually motivated approaches to low level vision (feature detection, etc.);

Perceptual grouping and organisation

Representation, analysis and matching of 2D and 3D shape

Shape-from-X

Object recognition

Image understanding

Learning with visual inputs

Motion analysis and object tracking

Multiview scene analysis

Cognitive approaches in low, mid and high level vision

Control in visual systems

Colour, reflectance and light

Statistical and probabilistic models

Face and gesture

Surveillance

Biometrics and security

Robotics

Vehicle guidance

Automatic model aquisition

Medical image analysis and understanding

Aerial scene analysis and remote sensing

Deep learning models in computer vision

Both methodological and applications orientated papers are welcome.

Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review.

Special Issues Current Call for Papers:

Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdf

Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf

IET 计算机视觉寻求广泛计算机视觉领域的原创研究论文。该期刊的愿景是发表与该领域相关且具有时效性的最高质量的研究成果，但不要忘记那些旨在开拓新视野并为未来计算机视觉研究途径设定议程的成果。

IET Computer Vision 欢迎提交以下主题的论文：

生物和感知驱动的低级视觉方法（特征检测等）；

感知分组和组织

2D 和 3D 形状的表示、分析和匹配

Shape-from-X

对象识别

图像理解

通过视觉输入进行学习

运动分析和物体跟踪

多视角场景分析

低级、中级和高级视觉中的认知方法

视觉系统中的控制

颜色、反射和光

统计和概率模型

面部和手势

监视

生物识别和安全

机器人

车辆引导

自动模型获取

医学图像分析和理解

空中场景分析和遥感

计算机视觉中的深度学习模型

欢迎方法论和应用导向的论文。

提交的手稿应包括对文献的详细分析和评论，以及对原始提议的研究及其方法的最新阐述，其彻底的实验评估，以及最后但并非最不重要的是，与相关和最先进方法的比较评估。不遵守这些最低要求的投稿可能会被退回给作者，而不会被送去审查。

特刊当前征文：

智能相机和相机网络的计算机视觉 - https://digital-library.theiet.org/files/IET_CVI_SC.pdf

创意产业的计算机视觉 - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映工程技术-工程：电子与电气领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为1.5，平均审稿速度为 约1月 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。