Despite extensive research conducted in machine vision for harvesting robots, practical success in this field of agrobotics is still limited. This article presents a comprehensive review of classical and state-of-the-art machine vision solutions employed in such systems, with special emphasis on the visual cues and machine vision algorithms used. We discuss the advantages and limitations…
International Journal of Computational Vision and Robotics Template
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About the International Journal of Computational Vision and Robotics format
International Journal of Computational Vision and Robotics is a peer-reviewed journal published by Inderscience, covering Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques, Video Surveillance and Tracking Methods.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Computational Vision and Robotics, 12(3), pp. 45–58.
Formats any DOI in International Journal of Computational Vision and Robotics style. No sign-up. |
| Publishes research in | Image Retrieval and Classification Techniques Advanced Image and Video Retrieval Techniques Video Surveillance and Tracking Methods Face and Expression Recognition Vehicle License Plate Recognition |
| ISSN | 1752-9131 |
| Citation impact (2-yr) | 0.5 |
| h-index | 20 |
| i10-index | 54 |
| Total citations | 2,281 |
| Top institutions publishing here | Hansung University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Computational Vision and Robotics per year
Citation impact of International Journal of Computational Vision and Robotics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in International Journal of Computational Vision and Robotics
An object detection system finds objects of the real world present either in a digital image or a video, where the object can belong to any class of objects namely humans, cars, etc. In order to detect an object in an image or a video the system needs to have a few components in order…
Musculoskeletal conditions have a significant impact on quality of life.This study explores the use of machine learning algorithms for early detection and management of such conditions.Different models were evaluated using a dataset of musculoskeletal images and clinical information.Results demonstrate accurate classification with high sensitivity and specificity.A neural network was developed for detecting chronic lower back…
Chi–square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second–order statistics, we make use of histogram of grey level co–occurrence matrix (GLCM) that is based on second–order statistics and propose a…
In this paper, the author implemented smart parking information management system based on IoT using ultrasonic parking sensor and Bluetooth beacon. Ultrasonic IoT sensors used for parking sensing are controlled by the Arduino board to collect parking sensing data, and the collected parking information is transmitted to the server in real time using the MQTT…