Interactive differential evolution for prostate ultrasound image thresholding

  • Authors:

  • Arman Darvish;Shahryar Rahnamayan;Zaid S. Mohamad

  • Affiliations:

  • University of Ontario, Oshawa, ON, Canada;Faculty of Engineering and Applied Science, Oshawa, ON, Canada;University of Ontario, Oshawa, ON, Canada

  • Venue:
  • Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2012

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Abstract

Image thresholding is a method of image segmentation which applies to grayscale images. Thresholding is a challenging task and many techniques have been introduced to offer a global technique that can be applied to all kind of images. In this paper an interactive method is introduced and its result is compared to a well known method (Otsu). The experimental verifications are conducted on prostate ultrasound images and also non-medical images.