article · 1999

Color Image Classification

Marcel J. Castro, Advisors Vidya Manian, Ramón Vásquez

Cited by 0Abstract and details only

Abstract

This paper describes the process of classifying color images based on color texture information. The images are originally in Red-Green-Blue (RGB) and they are changed to xyY to facilitate the image processing. Chromacity information (xy) is combined with luminance (Y) in the image. Luminance and chrominance image processing implementation is included in this paper. The process analyzes them separately to finally use them both together to classify the image. Luminance information is processed in three stages: filtering, smoothing, and boundary detection. Chrominance information on the other hand, is processed in one stage: histogram multi-thresholding. Classification based on luminance is done by Gabor filtering and then calculating the approximately features. Results are presented for 6 color images. 1.

Cite this paper

APA 7

Castro, M. J., Manian, A. V., & Vásquez, R. (1999). Color Image Classification.

MLA 9

Castro, Marcel J., et al. “Color Image Classification.” 1999.

Chicago

Castro, Marcel J., Advisors Vidya Manian, and Ramón Vásquez. 1999. “Color Image Classification.”

Harvard

Castro, M.J., Manian, A.V. and Vásquez, R. (1999) ‘Color Image Classification’.

BibTeX

@article{castro1999color,
  title = {{Color Image Classification}},
  author = {Castro, Marcel J. and Manian, Advisors Vidya and Vásquez, Ramón},
  year = {1999}
}

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