Evaluating the performance of different image binarization techniques

Authors

  • Kaur Gill Dept. of Computer Science, SIET Manawala, Amritsar (Punjab) India
  • Arora A Dept. of Computer Science, SIET Manawala, Amritsar (Punjab) India

Keywords:

Documents, Binarization, thresholding, Binary image

Abstract

Image binarization is the methodology of separating of pixel values into dual collections, dark as frontal area and white as background. Thresholding has discovered to be a well-known procedure utilized for binarization of document images. Thresholding is further divided into global and local thresholding technique. In document with contrast delivery of background and foreground, global thresholding is discovered to be best technique. In corrupted documents, where extensive background noise or difference in contrast and brightness exists i.e. there exists numerous pixels that cannot be effortlessly categorized as foreground or background broad foundation. In such cases, local thresholding has significant over available techniques. The principle target of this paper is to evaluate the performance of the distinct image binarization strategies and to discover the best technique among some well-known existing methods. Documents

References

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Published

2024-02-26

How to Cite

Kaur Gill, T., & Arora, A. (2024). Evaluating the performance of different image binarization techniques. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(11), 1294–1299. Retrieved from https://ijact.in/index.php/j/article/view/225

Issue

Section

Original Research Article

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