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Asian Journal of Information Technology

ISSN: Online 1993-5994
ISSN: Print 1682-3915
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Performance Comparison of Thresholding Algorithms on Uneven Illuminated Image

Abdulkadir Seng?r , Ibrahim T , rkoglu and M. Cevdetince
Page: 981-984 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/ajit.2004.981.984

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Abstract

This study introduces the histogram thresholding approaches, explains its principals, advantages and disadvantages, and its uses. Thresholding is one of the old, simple and popular techniques for image segmentation. Here, three different thresholding algorithms are examined. These are global thresholding, adaptive thresholding and global adaptive thresholding methods. The effects of the examined thresholding methods and segmentation yields are compared with an application based on computer simulations over uneven illuminated images.

How to cite this article:

Abdulkadir Seng?r , Ibrahim T , rkoglu and M. Cevdetince . Performance Comparison of Thresholding Algorithms on Uneven Illuminated Image.
DOI: https://doi.org/10.36478/ajit.2004.981.984
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2004.981.984