Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Edge detection and segmentation are widely used in image processing applications. Edges are significant local changes of intensity in an image. It is difficult to detect the coarse and superfluous edges in a fire and flame image. This study proposes 2 edge, the edge detected to be continuous and long enough. The detection algorithms called auto-adaptive edge detection and fuzzy logic which is used to find the longer edges in the fire and flame images. This auto-adaptive mechanism and fuzzy logic are trying to guarantee edges detected by the proposed methods are consecutive rather than short line segments. In this study, shows the effectiveness of the 2 edge, detection algorithms and gives the comparative results. Finally, it detects the nature of the flame.
How to cite this article:
J. Praveena and J. Kanimozhi. Flame Monitoring Using Auto-Adaptive Edge Detection.
DOI: https://doi.org/10.36478/jeasci.2014.50.54
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2014.50.54