영상 처리 기법에서 곡률을 이용한 입경 측정 알고리즘의 개발Development of Image Processing Algorithm Using Boundary Curvature Information in Particle Size Measurement

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 350
  • Download : 81
In the present study, a new pattern recognition algorithm was proposed to size spray particles using the boundary curvature information. Conceptually, this algorithm has an advantage over the others because it can identify the particle size and shape simultaneously, and also can separate the overlapped particles more effectively. Curvature of a boundary was obtained from the change of the slopes of two neighboring segments at the corresponding part. The algorithm developed in this study was tested by using an artificially prepared image of a group of spherical particles which were either isolated or overlapped. Particle sizes obtained from the measured curvatures agreed well with the true values. By detecting abrupt changes of the curvature along the image boundary, the element particles could be separated out from their overlapped images successfully.
Publisher
대한기계학회
Issue Date
2002-10
Language
Korean
Citation

대한기계학회논문집 B, v.26, no.10, pp.1445 - 1450

ISSN
1226-4881
URI
http://hdl.handle.net/10203/15264
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item
33508.pdf(350 kB)Download

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0