Optimization of Digital Image Processing Method to Improve Smoke Opacity Meter Accuracy

Dwi Putra - State University of Padang, Indonesia
Donny Fernandez - State University of Padang, Indonesia
- Wagino - State University of Padang, Indonesia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.2.2.114

Abstract


One of the parameters of exhaust emission testing on diesel engines is the level of smoke opacity. If the opacity is high then the emission quality is bad. The instrument for measuring smoke opacity is called Smoke Opacity Meter. The commonly used basic concept to measure smoke density is by utilizing a light sensor (optical sensor). Development of Smoke Opacity Meter applies the concept of Digital Image Processing. Even though it has initially begun, the measurement result is yet as perfect as Optical Sensor Concept. Therefore, this paper describes on how to implement the Digital Image Processing Method in processing the smoke opacity video data.

Keywords


Digital Image Processing; Smoke Opacity Meter; Automotive Measurement Tool

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References


D Fernandez, DS Putra, W Wagino, M Arif. (2017). “Implementasi Metode Digital Image Processing untuk Menguji Kepekatan Asap Kendaraan Motor Diesel” JIT Politeknik Kota Malang, vol 1, no 1,

Granholm, Jennifer M. (2007). Diesel exhaust Emissions. New Jarsey : University of Wisconsin.

C. Yu, J. Fang, J. Wang, and Y. Zhang, “Video fire smoke detection using motion and color features,” Fire Technology, vol. 46, no. 3, pp. 651–663, July 2010.

Amiri, D. M. (2011). Digital Image Proceessing, 5.




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JOIV : International Journal on Informatics Visualization
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Creative Commons License is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.