International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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COLORNET: Importance of Color Spaces in Content based Image Retrieval

  • Judy Gateri (Department of Computing, Jomo Kenyatta University of Agriculture and Technology) ;
  • Richard Rimiru (Department of Computing, Jomo Kenyatta University of Agriculture and Technology) ;
  • Micheal Kimwele (Department of Computing, Jomo Kenyatta University of Agriculture and Technology)
  • Received : 2023.05.05
  • Published : 2023.05.30
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Abstract

The mainstay of current image recovery frameworks is Content-Based Image Retrieval (CBIR). The most distinctive retrieval method involves the submission of an image query, after which the system extracts visual characteristics such as shape, color, and texture from the images. Most of the techniques use RGB color space to extract and classify images as it is the default color space of the images when those techniques fail to change the color space of the images. To determine the most effective color space for retrieving images, this research discusses the transformation of RGB to different color spaces, feature extraction, and usage of Convolutional Neural Networks for retrieval.

Keywords

Acknowledgement

The completion of this undertaking could not have been possible without participation of many people whose names may not been enumerated and therefore we would like to express our deep appreciation to them.

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