BPF_1_3

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)

伽马变换，直方图均衡化，直方图修正方案123，自适应全局直方图均衡局部锐化，中值滤波(Gamma transform, histogram equalization, histogram modification scheme 123, adaptive global histogram equalization local sharpen the median filter)

本算法主要采用变分贝叶斯求解图像忙恢复问题。(This package contains implementations of the MAP_k blind deconvolution algorithms described in the paper "Efficient Marginal Likelihood Optimization in Blind Deconvolution" Levin, Weiss, Durand and Freeman, )

增量直线拟合(incremental line fitting)算法描述多个物体(Incremental line fitting (incremental line fitting) algorithm for multiple objects described)

基于FPGA开发的均值滤波程序，效率很高，非常有用(Based on FPGA development of the mean filter program)

Images of diffraction

提出了一种大容量的可逆信息隐藏算法的详细实现方案。利用图像直方图中的多个零点或者最小点, 通 过修改图像像素的灰度值来隐藏信息, 并通过统计分析给出常用的信息隐藏的模型和算法。(Presents a large reversible capacity detailed information hiding algorithm implementations. Using the image histogram, or the minimum number of zero points, by modifying the image pixel gray value to hide the information, and is given by commonly used statistical analysis model and algorithm for information hiding.)

对图像进行模糊处理，用逆滤波和维纳滤波恢复图像，也是实验时自己编写的代码，请多指教。(Fuzzy image processing, inverse filtering and Wiener filter to restore the image, but also experiments have written code, like him Zhijiao.)

图像分解算法，四种方法可选，包括threshold, K means threshold, region growing以及gradient based segmentation(Image decomposition algorithm, four methods available, including the threshold, K means threshold, region growing and gradient based segmentation)

典型的一维kalman滤波原理程序，容易掌握！(typical one-dimensional Kalman filtering process easy!)