A Comparative Analysis of Edge Detection Techniques Used in Flame Image Processing
نویسندگان
چکیده
This paper presents a review over the detection of edges by taking a flame as an input image. The identification of flame edge is the process of locating a boundary between those areas where a thermochemical reactions take place. The determination of flame edges is necessary for early fire detection, fire analysis and the estimation of various flame parameters. Edge detection is an important process which aims to identify and locating the sharp intensity changes in an image. Generally, Edges are find out by reducing the unwanted or unnecessary data from an image, while preserving and maintaining it’s important structural properties. The study has been done on various edge detection methods such as Sobel, Robert’s cross, Prewitt, Laplacian of Gaussian (LoG), Canny edge detection & the technique which is based on Local Binary Pattern (LBP). The study also explores various advantages and disadvantages of existing edge detection techniques.
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