• DocumentCode
    238014
  • Title

    Analysis of segmentation scheme for diseased rice leaves

  • Author

    Devi, D. Amutha ; Muthukannan, K.

  • Author_Institution
    Dept. of ECE, Einstein Coll. of Eng., Tirunelveli, India
  • fYear
    2014
  • fDate
    8-10 May 2014
  • Firstpage
    1374
  • Lastpage
    1378
  • Abstract
    For any automated image analysis process, the segmentation is an important task because all subsequent tasks in image processing heavily rely on the quality of image segmentation. It determines the eventual success or failure of the analysis. The problem in image segmentation occurs when an image has a varying gray level background. There are several algorithms and methods are available for image segmentation, but there is a need to develop a unique method for it. In this paper, some of the image segmentation algorithms are compared to segment the diseased portion of rice leaves.
  • Keywords
    crops; image segmentation; plant diseases; automated image analysis process; image segmentation algorithms; image segmentation quality; rice leave diseased portion segmentation; segmentation scheme analysis; varying gray level background; Biology; Databases; Image segmentation; Lead; Lighting; PSNR; Silicon; Image segmentation; correlation; mean shift; paddy disease; region growing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4799-3913-8
  • Type

    conf

  • DOI
    10.1109/ICACCCT.2014.7019325
  • Filename
    7019325