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Continuous Wavelet Transform Based Gene Optimized Fuzzy C-Means Clustering For Forest Fire Detection
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Fire detection is an important aspect of disaster preparedness, to reduce loss of lives and property damage. Conventionally, many techniques have been designed so far, to discover the forest fires through input videos. But, clustering performance of conventional fire detection techniques was not sufficient. To overcome the above limitations, Continuous Wavelet Transform Based Gene Optimized Fuzzy C-Means Clustering (CWT-GOFCC) technique is proposed. The proposed CWT-GOFCC technique takes number
doi:10.35940/ijitee.j1002.08810s19
fatcat:mrhhpv7qknfyjo77z5lvdod4da