International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064

Downloads: 5

Survey Paper | Computer Science & Engineering | India | Volume 10 Issue 5, May 2021

Survey on Various Image Segmentation Techniques

Babita Chauhan [2]

Abstract: Image segmentation is considered one of the most significant image processing techniques. The technique of splitting or partitioning an image into bits, called segments, is known as image segmentation. It's most effective for applications like image compression and object detection, since processing the whole image is wasteful in these cases.As a result, image segmentation is used to separate the image's components for further processing. Digital image processing techniques allow for computer-assisted editing of digital images. Pre-processing, enhancement and display, and content retrieval are the general processes that all forms of data must go through by using modern technology. In image processing, image segmentation is a critical stage. Image segmentation strategies such as Thresh-holding, Edge Detection, Colour dependent binary Image segmentation, and Biogeography Based Optimization are studied in this paper and their precision, sensitivity, and specificity are evaluated.

Keywords: Image segmentation, edge detection, fuzzy clustering, thresh-holding, and biogeography-based optimization are some of the techniques used

Edition: Volume 10 Issue 5, May 2021,

Pages: 948 - 951

How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF

How to Cite this Article?

Babita Chauhan, "Survey on Various Image Segmentation Techniques", International Journal of Science and Research (IJSR), Volume 10 Issue 5, May 2021, pp. 948-951,

Similar Articles with Keyword 'Image segmentation'

Downloads: 2

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 9, September 2021

Pages: 649 - 652

Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering

Babita Chauhan [2] | Preeti Sondhi [7]

Share this Article

Downloads: 105

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014

Pages: 1602 - 1605

Usability of Cluster Based Co-Saliency in Video Foreground Detection

Merin Joseph | Anil A. R.

Share this Article