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Research Article | Open Access |

Content Based Image Retrieval by using Multi Layer Centroid Contour Distance

Author 1: Kohei Arai Author 2: Cahya Rahmad
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 3 · Published 2013 · Cited by 10

DOI: https://doi.org/10.14569/IJARAI.2013.020303

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Abstract

In this paper we present a new approach to measuring similarity between two shape of object. In conventional method, centroid contour distance (CCD) is formed by measuring distance between centroid (center) and boundary of object, but this method cannot capture if an object have multiple boundary in the same angle. We develop a novel approach feature shape by measuring distance between centroid (center) and boundary of object that can capture multiple boundaries in the same angle or multi-layer centroid contour distance (MLCCD). The experiment result on simulation dataset and plankton dataset show that the proposed method (MLCCD) better than the conventional method (CCD).

Keywords

Content based Image Retrieval CCD MLCCD

How to Cite this Article

Arai, K., & Rahmad, C. (2013). Content Based Image Retrieval by using Multi Layer Centroid Contour Distance. International Journal of Advanced Research in Artificial Intelligence, 2(3). https://doi.org/10.14569/IJARAI.2013.020303

Arai, Kohei, and Cahya Rahmad. "Content Based Image Retrieval by using Multi Layer Centroid Contour Distance." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 3, 2013, https://doi.org/10.14569/IJARAI.2013.020303.

@article{Arai2013,
  title     = {Content Based Image Retrieval by using Multi Layer Centroid Contour Distance},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {3},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Cahya Rahmad},
  doi       = {10.14569/IJARAI.2013.020303},
  url       = {https://doi.org/10.14569/IJARAI.2013.020303}
}

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