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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 34 — Dec. 1, 2011
  • pp: H265–H277

Robust integral image rectification framework using perspective transformation supported by statistical line segment clustering

E. T. Koufogiannis, N. P. Sgouros, and M. S. Sangriotis  »View Author Affiliations

Applied Optics, Vol. 50, Issue 34, pp. H265-H277 (2011)

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In most integral image analysis and processing tasks, accurate knowledge of the internal image structure is required. In this paper we present a robust framework for the accurate rectification of perspectively distorted integral images based on multiple line segment detection. The use of multiple line segments increases the overall fault tolerance of our framework providing strong statistical support for the rectification process. The proposed framework is used for the automatic rectification, metric correction, and rotation of distorted integral images. The performance of our framework is assessed over a number of integral images with varying scene complexity and noise levels.

© 2011 Optical Society of America

OCIS Codes
(100.3020) Image processing : Image reconstruction-restoration
(100.5010) Image processing : Pattern recognition
(100.6890) Image processing : Three-dimensional image processing
(110.2960) Imaging systems : Image analysis
(110.2990) Imaging systems : Image formation theory

ToC Category:
Integral Imaging

Original Manuscript: August 5, 2011
Revised Manuscript: October 19, 2011
Manuscript Accepted: November 2, 2011
Published: December 5, 2011

Virtual Issues
Digital Holography and 3D Imaging 2011 (2011) Applied Optics

E. T. Koufogiannis, N. P. Sgouros, and M. S. Sangriotis, "Robust integral image rectification framework using perspective transformation supported by statistical line segment clustering," Appl. Opt. 50, H265-H277 (2011)

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