Survey on various adaptive thresholding techniques in imagesegmentation

Authors

  • M. Riyaz Mohammed
  • Dr. M. Sabibullah

Abstract

Thresholding techniques are the key pillars of image processing if one wants to distinguish objects from complex environments. Herein, four types of thresholding strategies are examined which are based on different theories, are practical and popular today, and are advanced. By a thorough literature review, the thresholding techniques, thresholding operation, Evaluation Metrics, Image Processing Techniques and Python code on ROI of binary Image are explained in understandable manner. The article finishes with some main conclusion, which are outlined in this review.

Keywords:

Thresholding, Computer Vision, Image Segmentation, Binary Image, Threshold Selection, PythonCodeonROI

Author Biographies

M. Riyaz Mohammed

Assistant Professor, PG and Research Department of Computer Science, Jamal Mohamed College(Autonomous), Tiruchchirappalli-620020 Tamil Nadu,India

Dr. M. Sabibullah

Associate Professor, PG and Research Department of Computer Science, Jamal Mohamed College(Autonomous), Tiruchchirappalli-620020, Tamil Nadu,India

Published

2026-06-03
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How to Cite

Survey on various adaptive thresholding techniques in imagesegmentation. (2026). Scienxt Journal of Computer Science & Information Technology, 2(3). https://journals.scienxt.com/index.php/sjcsit/article/view/29