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- 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得
01._THE_MULTI-DIMENSIONAL_ENSEMBLE_EMPIRICAL_MODE
- A multi-dimensional ensemble empirical mode decomposition (MEEMD) for multi dimensional data (such as images or solid with variable density) is proposed here. The decomposition is based on the applications of ensemble empirical mode decomposition
PSO_TaraNG
- particle swarm optimization to find the minima
Registration-method4
- 基于特征的自适应正则化配准算法,摆脱了局部极小值的困扰，得到了正确的配准结果-Feature-based adaptive regularization registration algorithm, to get rid of the problems of local minima, and get the correct registration results
Particle-Swarm-Optimization
- This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the abil
SA-TSP
- Simulated Annealing (SA) is the oldest probabilistic meta-heuristic algorithm and one of the first algorithms having ability to avoid being trapped in local minima. It is inspired by the process of annealing in metallurgy. In this process a m
jg
- Detect tampering in low quality image. Part of a image is extracted , compressed at different quality original image reinserted in to original image. Calculate sum of square difference between manipulated image and different resaved version comp
Design-of-a-fast-convergent-backpropagation
- The main contribution of this paper is using optimal control theory for improving the convergence rate of backpropagation algorithm. In the proposed approach, the learning algorithm of backpropagation is modeled as a minimum time control prob