@inproceedings{scholars555,
           pages = {63--67},
            year = {2009},
         journal = {ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings},
            note = {cited By 2; Conference of 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 ; Conference Date: 18 November 2009 Through 19 November 2009; Conference Code:81054},
           title = {Gasoline-ethanol (Gasohol) fuel blend spray characterization using digital imaging and image processing},
         address = {Kuala Lumpur},
             doi = {10.1109/ICSIPA.2009.5478721},
            isbn = {9781424455614},
        keywords = {Cone angle; Digital imaging; Ethanol fuel blends; Ethanol gasoline blend; Fuel blends; Gasoline-ethanol blend; Schlieren imaging; Spray characteristics; Spray cone angle; Spray tip penetration, Digital image storage; Edge detection; Ethanol; Ethanol fuels; Gasoline; Imaging systems; Signal detection, Image segmentation},
          author = {Iffa, E. D. and Amirruddin, A. K. and Anwar, S. and Aziz, R. A. A.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954515002&doi=10.1109\%2fICSIPA.2009.5478721&partnerID=40&md5=76c28d332055fd7a33e57075ac8a6fcb},
        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.}
}