JOIV : International Journal on Informatics Visualization
Vol 2, No 2 (2018)

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

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

Article Info

Publish Date
03 Mar 2018

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.

Copyrights © 2018




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Journal Info
JOIV : International Journal on Informatics Visualization
Website

Abbrev

joiv

Publisher

Politeknik Negeri Padang

Subject

Computer Science & IT

Description

JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art ...