Call for Papers - Recent Trends in Image Processing and Pattern Recognition (RTIP2R)

The 8th International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) will take place in Morocco, on December 11 - 13, 2025. Submission till May 27 (First Call) and June 27 (Second Call). https://rtip2r-conference.org/2025/index.php or contact rshegadi@gmail.com
Call for Papers -  Recent Trends in Image Processing and Pattern Recognition (RTIP2R)
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The 8th 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 National School of Applied Sciences, Marrakech, Morocco, on December 11 - 13, 2025, in collaboration with AI Research Lab - Computer Science, University of South Dakota (USA).

Key features:
(1) Publication of all selected articles in Springer CCIS proceedings indexed by Scopus - Confirmed! 
(2) Publication of selected high-quality articles in high-impact factor journals - List will be displayed on the website soon
(3) Option to present paper in Online / Offline mode
(4) Fourteen special tracks (https://rtip2r-conference.org/2025/tracks.php)
(5) Best paper awards
(6) Low registration Charges for South Asian participants (https://rtip2r-conference.org/2025/registration.php)

For other details, visit the conference site https://rtip2r-conference.org/2025/index.php

Topics of interest for general submission include, but are not limited to:
Image processing: Image enhancement, image restoration, image segmentation, image compression, multispectral and hyperspectral imaging, 3D imaging
Computer vision & pattern recognition: Object detection and/or recognition (shape, color and texture analysis) and pattern recognition (statistical, structural, and syntactic)
Machine learning: Algorithms, clustering and classification, model selection (machine learning), feature engineering, deep learning, and federated Learning (applications and challenges)
Data science/analytics: Data mining tools, high-performance computing in big data
Applications: Cyber analytics, healthcare (medical imaging informatics), agriculture, business, energy, and education.

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Prof. R. S. Hegadi, Technical Chair
Prof. Anas Abou El Kalam, Program Chair
Prof. KC Santosh, Honorary Chair

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