Welcome to the RTIP2R 2023

The 6th International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) aims to attract current and/or advanced research on image processing, pattern recognition, computer vision, and machine learning. The RTIP2R 2023 will take place at the University of Derby, United Kingdom on December 7 - 8, 2023 in collaboration with 2AI Research Lab - Computer Science, University of South Dakota (USA). The contributions describing original, state-of-the art unpublished research, and not currently under review by another conference or journal and addressing the latest and current research are invited in RTIP2R 2023. Best student paper awards will be conferred at the conference.

Topics of interest include, but are not limited to

    • Signal, image processing, and machine learning: Signal processing, image analysis fundamentals, algorithms, clustering and classification, model selection (ma chine learning), feature engineering, federated learning, and shallow as well as deep learning.
    • Computer vision & pattern recognition: Object detection and/or recognition (shape, color and texture analysis) and pattern recognition (statistical, structural, and syntactic methods).
    • Machine learning: Algorithms, clustering and classification, model selection (ma chine learning), feature engineering, deep learning, and federated Learning (applications and challenges).
    • Data science/analytics: Data mining tools, high-performance computing in big data.
Link to all the special tracks is here.

Journal publications (special issue)

    • Explainable and/or Interpretable AI for Biomedical and Health Informatics, International Journal of Pattern Recognition & Artificial Intelligence (IJPRAI) (Download file).
    • Recent Trends in Image Processing and Pattern Recognition, Electronics - Computer Science & Engineering section, MDPI. (electronics) (Download file).


Fractured bone detection challenge

The goal of this challenge is to identify fractured bone in limbs using CT scans.
We offer a collection of 5567 clinically annotated anonymized CT-Scan Slices, obtained from multiple hospitals. This dataset includes a total of 24 CT scans, each containing approximately 200-300 slices. The scans cover both the upper and lower limbs.
To participate and know more about the competition please register through this link. You will get an invite link for a Kaggle competition after you register.
Important note. Winners will receive conference registration fees and will be invited to present their papers during the conference. In addition, papers will be selected for a possible publicaiton in a journal issue (SCI indexed).
Competition deadline: 10/15/2023 11:59 PM (UTC)

Paper submission

Papers are expected to be within the 8-15 page range. The review process takes into account both the quality in writing and the scientific impact of the work. Authors should clearly identify the problem, their contribution(s), justification with respect to the state-of-the-art works. The program committee would like to review those, who develop, argue, and provide results. We recommend using the LaTeX template for preparing submissions.
Please follow the template for preparing a conference paper CCIS, Springer Nature and Overleaf.
Submissions should be made through the RTIP2R 2023 Microsoft CMT webpage:

Outstanding PhD dissertation award

Submit your nominations to ashutosh@nitkkr.ac.in and a.makkar@derby.ac.uk with the subject line RTIP2R2023: Best PhD Dissertation Award Nomination. The submission deadline is July 31, 2023 (all time zones). Please check this file for further details: Download the pdf.


To facilitate the booking process for conference attendees, they can make reservations directly through the following link and use the postcode DE1 3LD (Enterprise Centre) to find nearby accommodation.
Link for Booking

This convenient option allows attendees to quickly access information and book accommodations that best suit their needs.
Kindly contact Muntazir Mehdi (local organiser) at m.mehdi@derby.ac.uk or +44-7762253211, if you have any questions or concerns related to accommodation during conference.