• DocumentCode
    3768209
  • Title

    Different techniques for satellite image segmentation

  • Author

    N P Deepika;K Vishnu

  • Author_Institution
    Department of Computer Science and Engineering, Cochin College of Engineering and Technology, Malappuram, Kerala
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Image Segmentation is one of the emerging trends in the field of image processing. It has found applications in the field of medical applications, satellite imagery etc. Image segmentation helps in segmenting the images into sub regions which are of our interest which can be analyzed individually. Satellite imagery is one of the wide areas in segmentation. This paper proposes three techniques such as K-means Clustering, Thresholding Technique and Active Contours for satellite image segmentation and evaluate the best method in satellite image segmentation using various performance parameters like Segmentation Accuracy, Correlation Ratio.
  • Keywords
    "Image segmentation","Active contours","Satellites","Correlation","Image color analysis","Clustering methods","Entropy"
  • Publisher
    ieee
  • Conference_Titel
    Green Engineering and Technologies (IC-GET), 2015 Online International Conference on
  • Type

    conf

  • DOI
    10.1109/GET.2015.7453836
  • Filename
    7453836