Edge detection and feature extraction of gastrointestinal radiographs using adaptive differential filter and level set method

Nobumichi Nagano, Takami Matsuo

Research output: Contribution to journalArticlepeer-review

Abstract

To improve the detectability of the gastric lesions in the X-ray examinations, the computer image processing methods of radiographs of gastric cancer lesions are discussed. We propose an adaptive differential filter to the edge detection. Moreover, the level set method is adopted to the segmentation. To verify the effectiveness of the proposed method, the numerical examples are carried out, using the case radiograph of the gastric intestines medical picture database produced by National Kyushu Cancer Center. The numerical results show that the number of iterations in the level set method can be reduced using the binary image obtained by the adaptive differential filter.

Original languageEnglish
Pages (from-to)279-287
Number of pages9
JournalInternational Journal of Advanced Mechatronic Systems
Volume3
Issue number4
DOIs
Publication statusPublished - 2011

Keywords

  • Adaptive differential filter
  • Cad
  • Computer-aided diagnosis
  • Edge detection
  • Segmentation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering

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