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说明：  fluent udf dpm particle diamter

说明：  用Lucy-Richardson算法和约束最小二乘滤波实现了图像去模糊(Image deblurring with LR algorithm and CLS filtering)

采用最大后验（MAP）算法来实现图像的超分辨率算法(The super-resolution algorithm using the maximum a posteriori (MAP) algorithm to achieve image)

对图像进行反转，这是图像传统的增强方法，是对像素点的增强。(Invert the image, which is the traditional method for enhancing an image, the pixel point is increased.)

利用基于直方图的自适应阈值方法实现分割前景与背景(The use of foreground and background to achieve segmentation adaptive threshold method based on histogram)

用高斯模型算法来处理视频，提取前景信息，适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)

说明：  完成基于各向异性的自适应超声图像去噪和边缘增强方法，参考Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf，加入了m参数(The completion of ultrasound-based adaptive anisotropic image denoising and edge enhancement method, reference Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf, joined the m parameters)

可以对一幅图像进行Arnold进行置乱加密，另外还有解密的程序(Arnold can be carried out on an image scrambling encryption, decryption program in addition to)

说明：  基于Haar+AdaBoost+bdd100k数据集做车辆识别(Vehicle recognition based on Haar + AdaBoost + bdd100k dataset)

本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景 物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的 多光谱图像配准算法。(In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance characteristics of band varies and so on, based on mutual information similarity measure for multi-spectral image registration algorithm .)