Python_medical

利用小波变换进行图像去噪处理，包括各种软硬阈值的选取函数(Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function)

基于神经网络的地面裂缝检测软件，可以在界面上选择各种功能去检测。(Ground crack detection software based on Neural Network)

窗口置外形图片的应用--数码时钟，易语言写的图形图像编程，很好的参考。(Window profile picture-- Application of digital clock, easy graphic language programming, a good reference.)

说明：  多种边缘检测算子对比 不需要改动 有sobel prewittts canny log(Multiple edge detection operators)

基于分形维数的图像分割，讶究 Blog欢迎您~~(www.iobeta.com iobeta.com www.vcbeta.net vcbeta.net)

说明：  标定用的c++程序，可以用来标定得到相机的内参矩阵和畸变参数。(Calibration using matlab toolbox, can be used to calibrate the camera s internal control matrix image obtained.)

FDK的C++代码,对于图像重建的人来说有用的哦(FDK s C++ code for image reconstruction for people who useful )

此程序利用openCV中人脸识别于模版匹配实现机器人的运动控制功能，其中机器人控制用了Aria的库和模拟器，使用者可根据控制需要替换这部分程序。 本程序的核心部分一直用于只能轮椅的人脸控制。(This process us face recognition in openCV and template matching to achieve robot motion control functions, which used the Aria library and robot simulator, user need replace this part of the control procedures to achieve their application.)

说明：  matlab下的相机标定工具箱，包含角点检测，求取相机内参，误差分析，求相机外参，图像校正等多种功能。附带有实验用的20张图像。(matlab under the camera calibration toolbox, including corner detection, strike the camera restricted reference materials, error analysis, seeking the camera outside the parameters, image correction, multiple functions. Comes with the 20 experimental images.)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)