Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Margraf:2023:ACSOS,

• author = "Andreas Margraf and Henning Cui and Anthony Stein and Joerg Hahner",
• booktitle = "2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)",
• title = "Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming",
• year = "2023",
• pages = "133--138",
• abstract = "The reconfiguration of machine vision systems heavily depends on the collection and availability of large datasets, rendering them inflexible and vulnerable to even minor changes in the data. This paper proposes a refinement of Miller's Cartesian Genetic Programming methodology, aimed at generating filter pipelines for image processing tasks. The approach is based on CGP-IP, but specifically adapted for image processing in industrial monitoring applications. The suggested method allows for retraining of filter pipelines using small datasets; this concept of self-adaptivity renders high-precision machine vision more resilient to faulty machine settings or changes in the environment and provides compact programs. A dependency graph is introduced to rule out invalid pipeline solutions. Furthermore, we suggest to not only generate pipelines from scratch, but store and reapply previous solutions and re-adjust filter parameters. Our modifications are designed to increase the likelihood of early convergence and improvement in the fitness indicators. This form of self-adaptivity allows for a more resource-efficient configuration of image filter pipelines with small datasets.",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Machine vision, Pipelines, Imaging, Rendering (computer graphics), Task analysis, Distributed computing, image filters, monitoring, segmentation",
• DOI = "doi:10.1109/ACSOS58161.2023.00031",
• month = sep,
• notes = "Also known as \cite{10336022}",

}

Genetic Programming entries for Andreas Margraf Henning Cui Anthony Stein Joerg Hahner

Citations