Browse > Article
http://dx.doi.org/10.3795/KSME-B.2002.26.10.1445

Development of Image Processing Algorithm Using Boundary Curvature Information in Particle Size Measurement  

김유동 (한국과학기술원 기계공학과)
이상용 (한국과학기술원 기계공학과)
김상수 (한국과학기술원 기계공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.26, no.10, 2002 , pp. 1445-1450 More about this Journal
Abstract
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.
Keywords
Image Processing; Particle Size Measurement; Curvature; Pattern Recognition Algorithm; Spray;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ahlers, K. D. and Alexander, D. R., 1985, 'Microcomputer Based Digital Image Processing System Developed to Count and Size Laser-Generated Small Particle Images,' Optical Eng., Vol. 24, No. 6, pp. 1060-1065
2 Lee, S. Y., Park, B. S. and Kim, I. G., 1991, 'Gray Level Factors Used in Image Processing of Two-Dimensional Drop Images,' Atomization and Sprays, Vol. 1, No. 4, pp. 389-400   DOI
3 Gonzalez, R. C. and Woods, R. E., 1993, Digital Image Processing, Addison-Wesley
4 Kruis, F. E., Denderen, J. V., Burman, H. and Scarlett, B., 1994, 'Characterization of Agglomerated and Aggregated Aerosol Particles Using Image Analysis,' Part. Part. Syst. Charact., Vol. 11, pp. 426-435   DOI   ScienceOn
5 Koh, K. U., Kim, J. Y. and Lee, S. Y., 'Determination of In-focus Criteria in Image Processing Method for Particle Size Measurement,' Trans. of the Korea Society of Mechanical Engineers, Vol. 23, No. 3, pp. 398-407
6 Kim, Y. D. and Lee, S. Y., 2000, 'Improvement of Image Processing Algorithm for Particle Size Measurement Using Hough Transform,' Proc. of ILASS-Asia 2000, pp. 99-104
7 Kim, K. S. and Kim, S. S., 1994, 'Drop Sizing and Depth-of-Field Correction in TV Imaging,' Atomization and Sprays, Vol. 1, No. 4, pp. 389-400
8 Kim, J. Y., Chu, J. H. and Lee, S. Y., 1999, 'Improvement of Pattern Recognition Algorithm for Drop Size Measurement,' Atomization and Sprays, Vol. 9, pp. 313-329   DOI
9 Koh, K. U., Kim, J. Y. and Lee, S. Y., 2001, 'Determination of In-focus Criteria and Depth of Field in Image Processing of Spray Particles,' Atomization and Sprays, Vol. 11, pp. 317-333   DOI