DocumentCode
3677779
Title
Survey of Clustering Techniques Enhancing Image Segmentation Process
Author
Shraddha Gangwar;Rishi Pal Chauhan
Author_Institution
Dept. of Phys., NIT Kurukshetra, Kurukshetra, India
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
34
Lastpage
39
Abstract
In regards to the context of Image Processing, image segmentation is considered to be a wider term as a necessary requirement for the evolution of the necessary data out of the given image. Till today, there have been a lot of methods incorporated to enhance the process. One basic step arises called the clustering technique which enhances the process of image segmentation. Since Clustering method gives the way to select the groups or zones efficiently so they are much in demand. Here, we classify and describe the various available clustering methods available till date which can be examined and manipulated according to the use and demand of the required image processing model. Here, we supply the evolution of the clustering techniques from simplicity to complexity describing their pros and cons. This paper will be helpful to all the researchers who want to apply one of the clustering methods to their research model.
Keywords
"Image segmentation","Clustering algorithms","Linear programming","Image edge detection","Clustering methods","Image color analysis","Resource management"
Publisher
ieee
Conference_Titel
Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on
Print_ISBN
978-1-4799-1733-4
Type
conf
DOI
10.1109/ICACCE.2015.12
Filename
7306645
Link To Document