Segmentation of rectangular objects lying on an unknown background in a small preview scan image

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate background colour approximation method, a set of heuristics for accurate detection of rectangle sides, and procedures to generate imprecise hypotheses of rectangles, adjust hypotheses to fit the rectangles in the image, and verify or reject the hypotheses. Our algorithm is capable of detecting overlapping and touching objects such as photos, receipts, and business cards on a very small-sized preview scan image (79 by 109 pixels) on a coloured/textured background

Original languageEnglish (US)
Title of host publicationProceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008
Pages369-375
Number of pages7
DOIs
StatePublished - Sep 24 2008
Externally publishedYes
Event5th Canadian Conference on Computer and Robot Vision, CRV 2008 - Windsor, ON, Canada
Duration: May 28 2008May 30 2008

Publication series

NameProceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008

Conference

Conference5th Canadian Conference on Computer and Robot Vision, CRV 2008
CountryCanada
CityWindsor, ON
Period5/28/085/30/08

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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    Guerzhoy, M., & Hui, Z. (2008). Segmentation of rectangular objects lying on an unknown background in a small preview scan image. In Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008 (pp. 369-375). [4562135] (Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008). https://doi.org/10.1109/CRV.2008.31