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雾化与喷雾
影响因子: 1.262 5年影响因子: 1.518 SJR: 0.814 SNIP: 1.18 CiteScore™: 1.6

ISSN 打印: 1044-5110
ISSN 在线: 1936-2684

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雾化与喷雾

DOI: 10.1615/AtomizSpr.v9.i3.50
pages 313-329

IMPROVEMENT OF PATTERN RECOGNITION ALGORITHM FOR DROP SIZE MEASUREMENT

Joo Youn Kim
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 373-1, Kusong-Dong, Yusong-Gu, Taejon, 305-701 Korea
Jeong Ho Chu
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 373-1, Kusong-Dong, Yusong-Gu, Taejon, 305-701 Korea
Sang Yong Lee
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

ABSTRACT

In the present work, the pattern recognition algorithm for drop size measurement has been improved by focusing on the processing of the partially detected or overlapped drop images and the oval-shaped drop images. The improved algorithm was assessed by using an artificially prepared image frame, where the overlapped and the oval-shaped particles are mixed with the normal spherical ones (with their true size distributions known a priori). The results show that both the number of particles recognized and the measurement accuracy are improved significantly.


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