secaizhuanyi

圆锥盒子工具，包括交互功能，可以实现放大缩小旋转等功能。(Tapered tool box, including the interaction capabilities)

本代码可以实现图像的维纳滤波，经过调试无错误，对于学习图像处理有较好帮助。(This code can achieve the image filtering, error-free through the debugging, better for learning image processing help.)

圆形图表的处理，包括大圆套小圆，双指针，针对设计仪表的初学者很有帮助(Treatment of circular charts, including the great circle sets of small round, double pointer, very helpful for beginners instrument design)

这是典型的图像分割Livewire算法的源码 结合OPENCV，配置一下就可以用了(This is a typical source image segmentation algorithm Livewire combination OPENCV, can be used to configure what)

一段很好的图像放大缩小程序，解码后可以运行。(A very good image magnification narrow program, the decoding can run. )

C++ GUI Programming with Qt 3不用再详细解释了吧，下载试一下就知道了(C GUI Programming with Qt 3 do not have a detailed explanation of it, Download trial will know what)

利用VC进行图像的频域滤波处理，内含源代码(VC image using the frequency domain filtering treatment, including source code)

实现了读取一个bmp图片的傅里叶变换 使用C语言实现 读取一个 24位 图 转换为8位灰度图后，进行傅里叶变换处理（二维） 采用快速傅里叶变换——蝶形算法 北航图像处理作业~需要进一步交流 请联系qq 422563357(Reads a bmp image to achieve a Fourier transform using C language Northern image processing operations)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

用大整数乘法来计算两个n位二进制数相乘(With large integer multiplication to calculate the multiplication of two n-bit binary number)