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说明：  基于卷积神经网络的图像融合方法，首次将卷积神经网络应用到图像融合领域。(The image fusion method based on convolutional neural network is first applied to image fusion.)

对比BP，OMP，StOMP对自然图像的重构效果,输入图像是一幅256*256的lena图像，我们使用压缩采样后，再用上述三种方法对其进行重构，比较其结果，其中StOMP方法是用不同的阈值(Contrast to BP, OMP, StOMP effect on the reconstruction of natural images, input image is a 256* 256 lena image, we use the compressed sampled, and then reconstruct them the above-mentioned three methods to compare their results, which StOMP method is to use different thresholds)

对三角网格进行驱动形变，使用Deformation transfer of Triangular Mesh算法(Driving Deformation of Triangular Mesh)

可以实现图像边缘检测，并对圆形区域实现圆的拟合(It can realize image edge detection and circle fitting.)

说明：  python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

说明：  利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)

利用径向基函数的方法进行隐式表面重建，matlab代码(Radial basis function method for implicit surface reconstruction)

问题：找出一个短字符串在一个长字符串中的精确匹配。 要求：基于BWT压缩和FM索引技术的序列匹配，用Burrows-Wheeler transform算法解决该问题。(Problem: find the exact match of a short string in a long string. Requirements: BWT-based compression and indexing techniques sequence matching FM, with the Burrows-Wheeler transform algorithm to solve the problem)

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但(LVQ (Learning Vector quantization) algorithm: it is an extended form of supervised learning of Kohonen, which combines self-organizing and supervised techniques. The learning method is competitive, but the)

MATLAB在图像处理方面的优选教材，做遥感图像处理的同学可以下载学习(MATLAB in the optimization of image processing materials, remote sensing image processing students can download learning)