Development of 3-D shapes estimation by using single X-ray image

Sung Man Cho, Chun Sam Song, Hyuk Hoon Shim, Joon Hyun Kim, Jong Hyeong Kim, Won Jong Joo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

X-ray images are heavily affected by noise which makes normal image processing not workable. This paper suggested a new method to identify the primary 3-D shape of an embedded object and its pose by using only single X-ray image. The image feature consists of corner points and edge/intersection lines of adjacent surfaces. The intensity of an X-ray image is attenuated exponentially with increasing the penetration thickness. The main finding is to model a precise exponential relationship to fit the variation of X-ray image intensity. It applied a least-square-method to the X-ray projection image and effectively extracted edges and intersection lines from the noise of X-ray image.

Original languageEnglish
Title of host publicationISOT 2009 - International Symposium on Optomechatronic Technologies
Pages345-350
Number of pages6
DOIs
StatePublished - 2009
EventISOT 2009 - International Symposium on Optomechatronic Technologies - Istanbul, Turkey
Duration: 21 Sep 200923 Sep 2009

Publication series

NameISOT 2009 - International Symposium on Optomechatronic Technologies

Conference

ConferenceISOT 2009 - International Symposium on Optomechatronic Technologies
Country/TerritoryTurkey
CityIstanbul
Period21/09/0923/09/09

Keywords

  • Exponential approximation
  • Extraction edge
  • Least-squar-method
  • X-ray

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