A Brief Review of Image Segmentation Based on Thresholding Technique

Abstract

Image processing plays an important role in computer vision. The process of image segmentation provides the partition of image into different segments per their feature attribute. Image segmentation divided into two types based on similarity and based on discontinuity. Region based segmentation is a type similarity based segmentation. Another type of segmentation is called thresholding based segmentation. In thresholding based segmentation method some thresholding techniques are used. Moreover, technologies required for one field of image may not suitable for other types of image. Many image applications can be found on binary or gray image but almost none for color image segmentation. In this paper, we present the study of various image segmentation techniques.

Authors and Affiliations

Bendale Dhanashri Dilip, Dinesh Kumar Sahu

Keywords

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  • EP ID EP23252
  • DOI http://doi.org/10.22214/ijraset.2017.3055
  • Views 276
  • Downloads 7

How To Cite

Bendale Dhanashri Dilip, Dinesh Kumar Sahu (2017). A Brief Review of Image Segmentation Based on Thresholding Technique. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk./articles/-A-23252