Publicou 12 edições por ano
ISSN Imprimir: 1044-5110
ISSN On-line: 1936-2684
Indexed in
IMPROVEMENT OF PATTERN RECOGNITION ALGORITHM FOR DROP SIZE MEASUREMENT
RESUMO
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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