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RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)

matlab 的 Difference of Gaussian 算法实现，很常用的算法(matlab the Difference of Gaussian algorithm, it is commonly used algorithm)

给予分水岭的图像分割，包括源代码、测试图、实验报告(Given watershed image segmentation, including source code, test plans, test reports)

针对于三架飞机进行的异常检测的基础算法 RX异常检测(RX Anomaly Detection algorithm for anomaly detection based on three of the aircraft)

形态学pathopenings的实现，对线特征提取等图像处理有令人惊奇的效果。(Morphological pathopenings the realization of the line feature extraction and other image processing have surprising effects.)

说明：  对二维码识别进行预处理的二值化，平滑以及角度和畸变的校正等(qr code pre.)

细胞图形处理，检测细胞的边缘跟踪，用于计算周长(Graphics processing cells to detect the edge of cell tracking, used to calculate the perimeter)

压缩感知的OMP算法应用于图像压缩与恢复。(OMP compressed sensing image compression and restoration algorithms applied to)

分数阶各向异性扩散图像去噪，实现了文献Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, IEEE T. Image Process.,2007, 16(10): 2492-3502(Fractional anisotropic diffusion denoising literature Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, the IEEE T. Image the Process, 2007, 16 (10): 2492-3502)

说明：  最小噪声分离变换（Minimum Noise Fraction Rotation，MNF Rotation）工具用于判定图像数据内在的维数（即波段数），分离数据中的噪声，减少随后处理中的计算需求量(Minimum Noise Fraction Rotation (MNF Rotation) tool is used to determine the intrinsic dimension (i.e. band number) of image data, separate the noise in data, and reduce the computational requirements in subsequent processing.)