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这MFC图像处理源代码总集包括了均值滤波，直方图均衡，高斯平滑，，锐化，拉普拉斯锐化（边缘检测），阈值变(With the MFC implementation of an image processing example code)

说明：  基于cs的sar成像仿真，包括omp、sl0、osl0、onsl0等cs算法(ISAR imaging simulation based on CS, including OMP, sl0, osl0, onsl0 and other CS algorithms)

说明：  对图像目标识别和提取，主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)

说明：  图像处理案例，本程序用matlab实现基于阈值分割的车牌定位识别功能(Image processing case, this program uses MATLAB to achieve license plate location and recognition function based on threshold segmentation.)

说明：  输入灰度图像，采用pcnn算法进行边缘检测(Input gray image, use PCNN algorithm for edge detection)

样条函数用于图像放大；可放大任意倍数；五次样条函数的构造 (five splines function)

着重介绍了数字水印Patchwork 算法，并且利用Matlab编程实现了这一算法(Focuses on digital watermarking Patchwork algorithm, and this algorithm Matlab programming)

k均值聚类的动态分类算法 灰度图和彩图的 (k-means clustering algorithm for the dynamic classification of grayscale and color)

说明：  图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法(Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods)

图像配准主要是通过两幅图像之间的互相关的最大值来确定配准的位置，从而在另一幅图像中显示配准的图像(Image registration is mainly through the maximum cross-correlation between the two images to determine the location of the registration and registered image, which is displayed in another image)