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首页> 外文会议>International Conference on Computing Methodologies and Communication >Optimal Image Fusion Algorithm using Modified Whale Optimization Algorithm Amalgamed with Local Search and BAT Algorithm
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Optimal Image Fusion Algorithm using Modified Whale Optimization Algorithm Amalgamed with Local Search and BAT Algorithm

机译：结合局部搜索和BAT算法的改进鲸鱼优化算法的最优图像融合算法

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摘要

Image fusion has an extensive application in the area of medical and satellite image analysis. Having such large applicability, the uses of image fusion is restricted because of the lack of precise algorithm and dedicated hardware. Researchers have tried to use the metaheuristic algorithm in the image processing field. The WOA (whale optimization algorithm) is one of the most popular metaheuristic algorithms used in recent days, but any such straight forward metaheuristic algorithm has some drawbacks. To overcome this drawback, a MWOA (modified WOA) has been proposed in this paper. This modified WOA is incorporated with LSA and BA algorithm. LSA makes this WOA more accurate, and BA makes this system faster. The problem of premature convergence and trapping of local minima is also shorted by using this MWOA. This Modified WOA have greater accuracy for identifying the object which has been compared with other heuristic and metaheuristic algorithm. The optimization algorithm is tasted by using MATLAB R2018b. The proposed design is synthesized using Xilinx Vivado 18.2 synthesis tool and simulated using ModelSim. The outcomes of the synthesis report and simulation of the circuit outshine other metaheuristic optimization approach. This MWOA is performed by using our own designed algorithm.
机译：图像融合在医学和卫星图像分析领域具有广泛的应用。具有如此大的适用性，由于缺乏精确的算法和专用硬件，限制了图像融合的使用。研究人员已尝试在图像处理领域中使用元启发式算法。 WOA（鲸鱼优化算法）是最近使用的最流行的元启发式算法之一，但是任何这种简单的元启发式算法都有一些缺点。为了克服这个缺点，本文提出了一种MWOA（改进的WOA）。该修改的WOA与LSA和BA算法结合在一起。 LSA使该WOA更加准确，而BA使该系统更快。使用此MWOA还可缩短过早收敛和陷于局部极小值的问题。与其他启发式和元启发式算法相比，该改进的WOA具有更高的识别对象准确度。通过使用MATLAB R2018b尝试优化算法。拟议的设计使用Xilinx Vivado 18.2综合工具进行综合，并使用ModelSim进行仿真。综合报告和电路仿真的结果胜过其他元启发式优化方法。通过使用我们自己设计的算法来执行此MWOA。

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