%0 Journal Article
%A FENG Jianxin1
%A 2
%A LI Hui1
%A 2
%A LIU Zhiguo1
%A 2
%T New Flame Color Space—IFCS
%D 2019
%R 10.3778/j.issn.1002-8331.1711-0390
%J Computer Engineering and Applications
%P 203-210
%V 55
%N 5
%X In order to solve the high false probability caused by FCS, a new color space model IFCS based on chaos theory and k-medoids PSO algorithm is proposed in this paper. The flame recognition with IFCS can compute simply and quickly, and highlight the attribute differences between the flame pixels and non-flame pixels more than FCS. Particles are initialized by chaos sequence. Inertia weight is adjusted adaptively. Learning factors are nonlinear adjusted dynamically. Locally optimal solutions are avoided with chaotic searching. Then IFCS is obtained. Further, IOFR algorithm based on IFCS and Otsu is established with the classic Otsu method in IFCS fire color space. Results show that IOFR algorithm can reduce the false probability effectively.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1711-0390