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Image Registration Using Ant Colony and Particle Swarm Hybrid Algorithm Based on Wavelet Transform

机译：基于小波变换的蚁群与粒子群混合算法的图像配准

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Mutual information based image registration has the advantages of high precision and strong robustness. However, the solution of this registration method is easy to fall into the local extremes. To overcome this problem, in this paper we propose a new optimal algorithm for image registration, which combines ant colony algorithm with particle swarm algorithm based on wavelet transform. Experiment results demonstrate our proposed approach effective.

机译：基于互信息的图像配准具有精度高，鲁棒性强的优点。但是，这种注册方法的解决方案很容易陷入局部极端。为了克服这个问题，本文提出了一种新的图像配准优化算法，该算法将蚁群算法与基于小波变换的粒子群算法相结合。实验结果证明了我们提出的方法是有效的。

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《Machine Vision, 2009. ICMV '09》|2009年|41-45|共5页
会议地点 Dubai(AE);Dubai(AE)
作者
Shi Aiye; Huang Fengchen; Pan Yang; Xu Lizhong;
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3. A low-complexity hybrid algorithm based on particle swarm and ant colony optimization for large-MIMO detection [J] . Mandloi Manish, Bhatia Vimal Expert Systems with Application . 2016,第May期

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4. Image Registration Using Ant Colony and Particle Swarm Hybrid Algorithm Based on Wavelet Transform [C] . Aiye Shi, Fengchen Huang, Yang Pan, International Conference on Machine Vision . 2009

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5. No-reference natural image/video quality assessment of noisy, blurry, or compressed images/videos based on hybrid curvelet, wavelet and cosine transforms . [D] . Shen, Ji. 2010

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6. Application of hybrid particle swarm and ant colony optimization algorithms to obtain the optimum homomorphic wavelet image fusion: [O] . Yonghong Jiang, Yaning Ma 2020

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7. Application of hybrid particle swarm and ant colony optimization algorithms to obtain the optimum homomorphic wavelet image fusion [O] . Yonghong Jiang, Yaning Ma 2020

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Image Registration Using Ant Colony and Particle Swarm Hybrid Algorithm Based on Wavelet Transform

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