@inproceedings{c5c7f6fc7d8b476fb73b456537242a50,
title = "Gasoline-ethanol (Gasohol) fuel blend spray characterization using digital imaging and image processing",
abstract = "This paper tries to characterize the spray of gasolineethanol blends using schlieren imaging technique and image processing. Five different gasoline-ethanol fuel blend rates by volume are prepared. The Image of the spray is captured using schlieren imaging technique and image processing is employed to extract macro spray characteristics- spray tip penetration and spray cone angle. Based on the extracted tip penetration and cone angles E55 gasoline-ethanol blend found out to have the largest cone angle and tip penetration among the tested blends.",
keywords = "Edge detection, Ethanol-gasoline blend, Image segmentation, Schlieren imaging, Spray cone angle, Spray tip penetration",
author = "Iffa, {Emishaw D.} and Amirruddin, {A. K.} and Shaharin Anwar and Aziz, {Rashid A.A.}",
year = "2009",
doi = "10.1109/ICSIPA.2009.5478721",
language = "English",
isbn = "9781424455614",
series = "ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings",
pages = "63--67",
booktitle = "ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings",
note = "2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 ; Conference date: 18-11-2009 Through 19-11-2009",
}
