Subpixel edge estimation using geometrical edge models with noise miniaturization

Daochuan Hung, O. R. Mitchell

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

2 Scopus citations

Abstract

The significant disadvantage for traditional contour representation is as the resolution is reduced the effort of undersampling is proportional enlarged. The goal of this study is to improve edge detection results, especially for those corner points in low resolution. This study describes a method, which is based on 4-connected pixel-wise linearization, for finding contours from low resolution video images. This allows a more accurate inspection and identification of objects from image data. In practice, geometrical models are used to manipulate this linearization. A method is employed for examining the corner points as well.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-117
Number of pages6
ISBN (Electronic)0818662506
DOIs
StatePublished - Jan 1 1995
Event1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 - Dallas, United States
Duration: Apr 21 1994Apr 24 1994

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
CountryUnited States
CityDallas
Period4/21/944/24/94

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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