Paper Title:
Discussion on Image Contour Extracting Method of Homogeneous Objects
  Abstract

Contour extracting plays an important role in image processing and computer vision, and it’s one of the most important components in low level processing. Based on many tests, this paper applies hue and texture as feature combined with mathematical morphology to have a rough segmentation of homogeneous objects, then restores the obtained contour based on h component. Tests prove that acceptable contour can be obtained. Compared with traditional method of contour extracting, the algorithm mentioned here includes self-differing, contour restoring based on hue and so on, so it has better robustness to light variation.

  Info
Periodical
Key Engineering Materials (Volumes 392-394)
Edited by
Guanglin Wang, Huifeng Wang and Jun Liu
Pages
935-940
DOI
10.4028/www.scientific.net/KEM.392-394.935
Citation
Q.G. Zeng, S.J. Song, C.F. Qiao, J.F. Zhang, "Discussion on Image Contour Extracting Method of Homogeneous Objects", Key Engineering Materials, Vols. 392-394, pp. 935-940, 2009
Online since
October 2008
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