xiangji

高斯混合模型的源代码。从文件中读取数据，用三个高斯混合模型进行处理(Gaussian mixture model of the source code. Read from the file data, using three Gaussian mixture model for processing)

将图片进行8*8块的dct变换，以及8*8块的反变化恢复原图像(use 8*8 block dct to chang image, and use 8*8 block idct to renew image.)

一个图片浏览器程序，除了基本的图片浏览功能外，还包括图像特效处理功能和特效处理算法。(An image browser program, in addition to basic image browsing functions, including image effects processing capabilities and effects-processing algorithms.)

实验图像数据曲线描绘刻画，进行数据拟合：高斯拟合，平滑处理(gaussian nihe)

这是一个图像处理相关的matlab工具包，包含了很多写好的可以直接调用的m文件，非常实用(These MATLAB functions were created for the book Digital Image Processing Using MATLAB, 2nd edition, by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Gatesmark Publishing, 2009. The functions supplement and extend the image )

该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。(This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly human-machine interface. When working, it detects objects in video using some techniques containing background subtraction, filter, binarization, and recognition. )

图像频率域滤波程序，课程设计作业，获优秀，完全自主开发，包含搞通滤波、低通滤波、带通滤波以及方向滤波。含ＧＵＩ(image frequency domain filtering procedures, curriculum design work, outstanding, fully self-development, including engaging pass filtering, low-pass filtering, band-pass filtering and filtering direction.- GUI)

说明：  GUI界面实现打开图像，基于阈值分割，基于边缘分割，基于形态学分割，基于种子点分割和基于主动轮廓模型分割(The GUI interface can open the image, based on threshold segmentation, edge segmentation, morphological segmentation, seed point segmentation and active contour model segmentation)

说明：  应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

利用hough变换检测圆，有RHT，随机hough变换，以及一些改进(Using Hough transform to detect the circle)