An adaptive multi-thresholding technique for binarization of color images

  • Authors:

  • Liaquat Majeed Sheikh;Imtiaz Hassan;Naveed Zafar Sheikh;Rana Amir Bashir;Shahzad Amjad Khan;Salman Saeed Khan

  • Affiliations:

  • Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan;Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan;Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan;Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan;Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan;Department of Computer Science, National University of Computer and Emerging Sciences, Lahore, Pakistan

  • Venue:
  • ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
  • Year:
  • 2005

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Abstract

Applying binarization technique on a colored image can yield an image that is quite different from the original one if multi-thresholding is used. The solution proposed is an adaptive multithresholding technique (AMTT) that describes an adaptive multi-thresholding technique (AMTT) for binarization of color images depending upon the nature of the image. The technique improves the perception of the binarized images based on color hue and hence the dissimilarity between original and binarized image is reduced. This technique compensates for differences in illumination and shade by including information content in the thresholding calculation. AMTT calculates information loss in the image with respect to human perception on the basis of color hue. Experimental results show that the proposed AMTT reduces the color content by keeping the information loss minimum.