Research Article Open Access

Histogram Matching Schemes for Image Thresholding

Salah Ameer1
  • 1 Humber College, Canada
American Journal of Engineering and Applied Sciences
Volume 12 No. 3, 2019, 413-419

DOI: https://doi.org/10.3844/ajeassp.2019.413.419

Submitted On: 16 August 2019 Published On: 9 September 2019

How to Cite: Ameer, S. (2019). Histogram Matching Schemes for Image Thresholding. American Journal of Engineering and Applied Sciences, 12(3), 413-419. https://doi.org/10.3844/ajeassp.2019.413.419

Abstract

This paper proposes several novel schemes for image thresholding. The idea is simply to compare the original image histogram to that of the thresholded image. Element by element comparison (sum of absolute difference between the two histograms) is found to be of better performance than a single feature (area or size) comparison. The optimum threshold is the one producing the best comparison. Cumulative histogram is introduced as a generalization to the area under the curve and found to be of better performance. In addition, a new performance measure is suggested based on percentage of correct assignments in both foreground and background. Comparative results with Otsu shows the effectiveness of the proposed schemes.

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Keywords

  • Image Thresholding
  • Histogram Matching
  • Performance Measure