A Function-Based Image Binarization based on Histogram
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2015, Vol 9, Issue 3
Abstract
A gray-level histogram of an image can be divided into four identical parts of gray-level value for better operations; our new approach is figured for the correct automatic binarization of digital images based on the presented theory. The algorithm follows a simple and accurate synthesis. A rectangular mixture function is employed to multiply by the input image; in this condition, the function is multiplied to the peak points of the image histogram, and in order to several peak points in the areas, to have a unity peak point, the global maximum theory is used. Finally achieved results are compared by ordinary methods: Otsu, Kapur, Rosin and Du algorithms. Experimental results show the good performance of the new approach toward the others.
Authors and Affiliations
Hamid Sheikhveisi| Payam e Noor University, Zahedan, Iran. email:Hamid.sheikhveisi@gmail.com
Keywords
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- EP ID EP6951
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