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The Adaptive Edge Detection Algorithm Based on Nonseparable Sampling Morphological Wavelet

  • Ting Li
  • Wei Guo
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 143)

Abstract

Edge detection is the keytechnique in image processing, image analysis, and image pattern recognition. In this paper, we propose the kind of adaptive edge detection algorithmbased on nonseparable sampling morphological wavelets. First we choose the sampling matrix according to the interesting edge direction;then decomposethe original image by nonseparable morphological wavelets to get the high frequency data with different directions; after that set the low frequency parts to zero; finallywe can get the edge of the original image by reconstruction. The algorithm has two advantages: one is adaptivefor edge detection because the parameters could be chosenaccording to the interesting edge direction; the other isto avoid the edge excursion since using small convolution kernel.

Keywords

Edge detection sampling morphological wavelets gray-scale morphology 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer EngineeringOrdnance Engineering CollegeShijiazhuangChina
  2. 2.College of ScienceHebei University of TechnologyTianjinChina
  3. 3.Mathematics and Information Science CollegeHebei Normal UniversityShijiazhuangChina

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