@article{MAKHILLJEAS20149313423,
    title = {Flame Monitoring Using Auto-Adaptive Edge Detection},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {9},
    number = {3},
    pages = {50-54},
    year = {2014},
    issn = {1816-949x},
    doi = {jeasci.2014.50.54},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2014.50.54},
    author = {J. and},
    keywords = {Edge detection,auto-adaptive edge detection,fuzzy logic,proposed methods,flame},
    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.}
    }