Earticle

초록

영어

Segmentation refers to a technique in which an image in digital form is partitioned into multiple segments (basically groups of pixels, also termed as Super pixels). This paper is a survey on Image Segmentation with its clustering techniques. Image Segmentation is the procedure of apportioning a picture into numerous segments, to change the exemplification of a picture into another which is more useful and easy to segment. A few universally useful calculations and approaches have been developed for picture division. It separates a digital picture into numerous locales to investigate them. It is likewise used to recognize segment items in the picture. A few picture segmentation procedures have been developed by the specialists with a specific end goal to make pictures smooth and simple to access. This paper describes segmentation techniques, advantages and disadvantages of the clustering methods and a comparison of the techniques.

목차

Abstract
 1. Introduction
 2. Image Segmentation
 3. Segmentation Technique
 4. Clustering Algorithm
  4.1. K-Means Clustering
  4.2. Fuzzy C-Means Clustering
  4.3. Log-Based Clustering
 5. Literature Survey
 6. Conclusion
 References

키워드

저자

• Priyansh Sharma [ Dept. of EC, ITM University ]
• Jenkin Suji [ Dept. of EC, ITM University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605