A Comparative Study of Thresholding Based Defect Detection Techniques

  • Yasir AslamEmail author
  • N. Santhi
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)


This paper presents a comprehensive literature analysis of defect detection techniques. There are several techniques for image segmentation developed by the analyst in turn to make images lustrous and simple to evaluate. In digital image processing, the thresholding is a renowned technique for the segmentation of images. Defect detection is currently a practicable field for improvising performance as well as retaining the products quality. The extensive applications of common thresholding methods such as adaptive thresholding, Otsu thresholding and seven other thresholding techniques have been discussed. In this paper, a comparative study of detection of defect or crack using various thresholding techniques is conferred.


Thresholding Segmentation Defect detection Image processing 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringNoorul Islam Centre for Higher EducationKumaracoilIndia

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