Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image

REN Hui; SU Zhibin; GAO Nan; Lü Chaohui

doi:10.11999/JEIT170496

Volume 40 Issue 2

Feb. 2018

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REN Hui, SU Zhibin, GAO Nan, Lü Chaohui. Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image[J]. Journal of Electronics & Information Technology, 2018, 40(2): 282-288. doi: 10.11999/JEIT170496

Citation:

REN Hui, SU Zhibin, GAO Nan, Lü Chaohui. Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image[J]. Journal of Electronics & Information Technology, 2018, 40(2): 282-288. doi: 10.11999/JEIT170496

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Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image

doi: 10.11999/JEIT170496

Funds:

The National Science and Technology Planning Project (2012BAH01F04), The Research Project of Communication University of China (3132016XNG1622)

Received Date: 2017-05-24
Rev Recd Date: 2017-10-16
Publish Date: 2018-02-19

Abstract

Abstract

To get the closed boundary of target object of given stereoscopic image, this paper proposes an improved algorithm with disparity-guided constraint for active contour extraction based on greedy snake model. The disparity relationship between the control points and the center of the object is used to design a new external force, which guides the original contour to real boundary. In addition, this method also uses the improved model iteratively with processed control points as the original input. Experiment results prove this method reduces the reliance on initial values of input contour, obtains accurate contour made up of uniform and dense points, which is more effective than the traditional greedy snake algorithm.
- Closed contour extraction,
- Disparity information,
- Greedy snake,
- Original contour

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References(24)

References

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