Skip to main navigation Skip to search Skip to main content

Fast extraction of linear segmentation characteristic based on gray scale projection multiple processing

  • Harbin Institute of Technology

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

Abstract

The fast extraction of segmentation characteristic from images constructed by complex objects and contaminated by noise is a difficult problem in image process domain. A fast extraction algorithm of linear segmentation characteristic based on multiple processing to gray scale projection is proposed. The original gray scale projection of image is mapped with rectangle window to obtain statistics distribution curve. Classical first difference calculator is used to extract the extreme point on the curve. The coordinate of linear segmentation Characteristic formed by expected region edges is obtained based on the extreme point gradient criteria. Demonstrated by application, the algorithm is accurate and effective for optical noisy images.

Original languageEnglish
Title of host publication2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009
Pages1681-1684
Number of pages4
DOIs
StatePublished - 2009
Event2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009 - Singapore, Singapore
Duration: 5 May 20097 May 2009

Publication series

Name2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009

Conference

Conference2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009
Country/TerritorySingapore
CitySingapore
Period5/05/097/05/09

Keywords

  • Gray scale projection
  • Linear segmentation
  • Mapped with rectangle window
  • Point gradient

Fingerprint

Dive into the research topics of 'Fast extraction of linear segmentation characteristic based on gray scale projection multiple processing'. Together they form a unique fingerprint.

Cite this