Survey on Image Segmentation Techniques using Traditional and Soft Computing Techniques

Authors

  • Kumari R Department of Computer Science, Kanya Gurukula Campus, Dehradun, Gurukula Kangri Vishwavidayalaya, Haridwar
  • Gupta N Department of Computer Science, Kanya Gurukula Campus, Dehradun, Gurukula Kangri Vishwavidayalaya, Haridwar

DOI:

https://doi.org/10.26438/ijcse/v6si5.8590

Keywords:

Image Segmentation, Genetic Algorithm, Soft Computing Techniques, Traditional Techniques

Abstract

Digital image processing plays an important role in computer technology. DIP has a variety of applications, image segmentation is one of the important application. Segmentation is a process of segment an image into different objects or parts. At present scenario, segmentation is an active research area. The issue of image segmentation is always of great concern as it enables the optimization in the extraction of the features and characteristics of the image. This paper presents a review of Traditional image segmentation techniques along with Soft computing Techniques

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Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6si5.8590
Published: 2025-11-13

How to Cite

[1]
R. Kumari and N. Gupta, “Survey on Image Segmentation Techniques using Traditional and Soft Computing Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 5, pp. 85–90, Nov. 2025.

Issue

Vol. 6 No. 5 (2018): IJCSE Special Issue June Edition

Section

Survey Article

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