Color image edge detection based on multiscale Gabor filter
DOI:
CSTR:
Author:
Affiliation:

School of Electronic and Information,Xi’an Polytechnic University, Xi’an 710048, China

Clc Number:

TP391.41

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to realize the edge extraction of color images, and to ensure that the algorithm has better stability.The article used the multiscale Gabor filter method to extract the edge of the color image and contour, the Gabor filter has three scales and sixteen directions.The first, changes the color image into the gray image, the imaginary part of multiscale Gabor filter is utilized to obtain the change information of gray image.The second, Through the nonmaxima suppression,and then through the high and low threshold to extract the edge pixels and its candidate edge pixels.The last, through the local edge connection to obtain edge contour line. And the performance of this algorithm is compared with the commonly used edge detection algorithm.This experimental conclusion states: this algorithm can obtain high positioning accuracy, and also has good noise robustness. Compared with a series of algorithms, such as Roberts, this method has better detection effect and better stability.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: May 25,2016
  • Published:
Article QR Code