• DocumentCode
    3451239
  • Title

    Design Strategies for EDGE Based Image Representation System with VLSI

  • Author

    Dixit, S.R. ; Deshmukh, A.Y.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., GHRCE, Nagpur, India
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    115
  • Lastpage
    116
  • Abstract
    Edges of image characterize the boundaries. It reduces amount of data and filters out useless information. It preserves structural properties of an image. Edge detection is useful for segmentation of objects, its registration and identification. So image processing algorithms are defined. Early state detection of image has been tried using VLSI architecture. A normal image and disease affected image are compared and percentage of disease has been tried to find out. Edge detection operators such as Sobel, Prewitt, Canny Edge Detector are used. Filtering of images include the elimination of noise, enhancing the edges and contours. Fast operations and efficient implementation will be considered while designing the algorithm.
  • Keywords
    VLSI; diseases; edge detection; image denoising; image enhancement; image registration; image representation; image segmentation; medical image processing; Canny Edge Detector; Prewitt; Sobel; VLSI architecture; disease affected image; early state image detection; edge detection; edge-based image representation system; image filtering; image processing; noise elimination; object identification; object registration; object segmentation; Biomedical imaging; Diseases; Filtering; Image edge detection; Image representation; Image segmentation; Very large scale integration; Edge Detection; Image Filtering; VLSI architecture; comparative analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2013 6th International Conference on
  • Conference_Location
    Nagpur
  • Print_ISBN
    978-1-4799-2560-5
  • Type

    conf

  • DOI
    10.1109/ICETET.2013.34
  • Filename
    6754795