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http://dx.doi.org/10.17662/ksdim.2018.14.4.169

A Study on the Fire Flame Region Extraction Using Block Homogeneity Segmentation  

Park, Changmin (영산대학교 성심교양대학)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.14, no.4, 2018 , pp. 169-176 More about this Journal
Abstract
In this study, we propose a new Fire Flame Region Extraction using Block Homogeneity Segmentation method of the Fire Image with irregular texture and various colors. It is generally assumed that fire flame extraction plays a very important role. The Color Image with fire flame is divided into blocks and edge strength for each block is computed by using modified color histogram intersection method that has been developed to differentiate object boundaries from irregular texture boundaries effectively. The block homogeneity is designed to have the higher value in the center of region with the homeogenous colors or texture while to have lower value near region boundaries. The image represented by the block homogeneity is gray scale image and watershed transformation technique is used to generate closed boundary for each region. As the watershed transform generally results in over-segmentation, region merging based on common boundary strength is followed. The proposed method can be applied quickly and effectively to the initial response of fire.
Keywords
Fire Flame Region Extraction; Block; Homogeneity; Over-Segmentation; Watershed Transform;
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