• 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