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Multiple Colour Detection of RGB Images Using Machine Learning Algorithm

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Applied Informatics (ICAI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1643))

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Abstract

Colour detection is the act of identifying the name of any colour. Color detection is required for object recognition, and it is also utilized in a variety of picture editing and sketching programs. Machine Learning (ML) has been proof useful in this area, and lot of researches have been done. This has been utilized in fields of neural networks and digital image processing recently. RGB images multiple colour recognition are powerful tools for various images for images and sketches. There have been several suggested regression models that use crop image characteristics and image indices, however, they have not been properly tested for accuracy and adaptation effectiveness for multiple colors. Therefore, this paper proposes K- Nearest Neighbour (KNN) classifier for efficient colour detection of RGB images. The KNN algorithm is a prominent ML technique and neural network classification technique. The KNN classifier is utilized to segregate distinct colors in the RGB images. The paper utilized colour histogram for feature extraction to find the features that most relevant pattern that define certain colours. The feature extraction further improved the efficacy and accuracy of KNN classifier’s in the classification of RGB images.

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Author information

Authors and Affiliations

  1. University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde & David Obagwu

  2. Østfold University College, Halden, Norway

    Sanjay Misra

  3. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

Authors
  1. Joseph Bamidele Awotunde
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  2. Sanjay Misra
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  3. David Obagwu
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  4. Hector Florez
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Corresponding author

Correspondence to Joseph Bamidele Awotunde .

Editor information

Editors and Affiliations

  1. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

  2. Universidad Continental, Arequipa, Peru

    Henry Gomez

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Awotunde, J.B., Misra, S., Obagwu, D., Florez, H. (2022). Multiple Colour Detection of RGB Images Using Machine Learning Algorithm. In: Florez, H., Gomez, H. (eds) Applied Informatics. ICAI 2022. Communications in Computer and Information Science, vol 1643. Springer, Cham. https://doi.org/10.1007/978-3-031-19647-8_5

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  • DOI: https://doi.org/10.1007/978-3-031-19647-8_5

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