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基于大津法和迭代法的图像二值化程序，相当于利用该方法进行了图像的分割，源码已调试，很好使！(Based on the Otsu method and iterative method of image binarization procedure is equivalent to using the method of image segmentation, source code has been debugging, very good to make!)

说明：  轻量级的三维画图控件，便于C/C++或C#等平台/语言中引用和开发(Lightweight 3D drawing control, convenient for reference and development in platforms / languages such as C/C++ or C#)

matlab导出iges格式的程序文件，可以matlab读取和导出(The name of the resource property which is the same as the topic name)

how to use win-logon

实现窗口的显示以百叶窗的形式出现的精美程序(To achieve the display window to the blinds in the form of fine program)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

scikit-image: Image processing in Python：Python编写的图像处理程序，可直接调用，是学习python图像处理的很好参考。(scikit-image: Image processing in Python：Image processing program written in Python, can be called directly, is to learn Python a good reference to the image processing.)

词袋模型，非常好的参考，有详细说明，希望顺利使用。(The bag of words model, a very good reference, there are detailed instructions, hope to use smoothly.)

实现通过用户给定B样条曲线的控制顶点、设定B样条曲线的次数及类型，进而绘制出相应的B样条曲线和对应的基函数图形。并且可以通过鼠标拖拽控制顶点修改B样条曲线和对应的基函数图形。从而，对B样条曲线和基函数的性质有更深入更直观的了解，理解B样条曲线和基函数的对应关系，在以后的学习中能更好地运用B样条曲线。(The number and type of user to achieve a given control vertices B-spline curve, set the B-spline curves, and then draw the corresponding B-spline basis functions and the corresponding graphic. And can be modified by dragging the mouse to control the apex B-spline curves and the corresponding basis function graphics. Thus, the nature of the B-spline curves and basis functions have a deeper and more intuitive understanding, understanding of the correspondence between the B-spline curves and basis functions in later learning to better use of B-spline curves.)

利用matlab的DCT2函数，对图像做变换并压缩。并用8*8对图像分块，对每一块计算均方值作为阈值。(DCT2 use the matlab function, and transform the image so compressed. And 8* 8 image block, a calculation of each mean square value as a threshold.)