Paper Title:
Dynamic Adaptive Weight Multi-Scale and Multi-Structure Morphological Edge Detection in Anterior Chamber OCT Images
  Abstract

An edge detection algorithm which is applied to anterior chamber OCT images has been proposed. The algorithm firstly uses multi-structure elements to detect edge on gray level value differences on the same scale, and introduces dynamic adaptive weight to make re-fusion of pixels to gain a multi-structure element morphological edge detection image on the same scale, then confirms weight value and makes multi-scale fusion according to the noise immunity of different scale structure elements to gain the final edge detection image. The simulated results have obvious edge features,it can effectively avoid the occurrence of mutational pixels on the OCT image edge results, compared to traditional edge detection algorithms.

  Info
Periodical
Chapter
Session 1: Mechanical Engineering and Materials Science
Edited by
Honghua Tan
Pages
70-75
DOI
10.4028/www.scientific.net/AMR.340.70
Citation
S. W. Huang, A. Zhang, X. L. Tian, Y. K. Sun, "Dynamic Adaptive Weight Multi-Scale and Multi-Structure Morphological Edge Detection in Anterior Chamber OCT Images", Advanced Materials Research, Vol. 340, pp. 70-75, 2012
Online since
September 2011
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$32.00
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