资源列表
使用regionprops中BoundingBox功能对图片进行处理
- 使用regionprops中BoundingBox功能对图片进行处理获得X,Y的坐标值以及长宽度,Use regionprops the BoundingBox of the image processing functions to obtain X, Y coordinate values and long-width
实现翻书效果的3D模型
- 一个很不错的实现翻书效果的3D模型，完全原创，学习opengl很有帮助啊！,A very good implementation of fflippage, 3D models, completely original, very helpful to learn opengl ah!
用于图形的绘画，例如饼图，直方图
- 用于图形的绘画，例如饼图，直方图，折线图。利用MSchart控件，对控件的操作~,For graphics drawing, such as a pie chart, histogram, line chart. The use of MSchart control the operation of the control ~
用代码本方法实现视频跟踪的背景建模
- 用代码本方法实现视频跟踪的背景建模，该方法是很经典的。,With the code to achieve this method to track the background of video modeling, the method is very classic.
基于C++和Matlab的图像分割和清晰度评价函数
- 基于C++和Matlab的图像分割和清晰度评价函数。采用图像信息熵来作为清晰度评价函数。,C++ and Matlab-based image segmentation and definition evaluation function. Using image information entropy as the sharpness function.
介绍了图割的基本思想
- 介绍了图割的基本思想，包括最大流最小割算法，以及简单的图割实例-Introduced the basic idea of graph cuts, including the maximum flow minimum cut algorithm, and simple instances of graph cuts
kmeans算法。opencv上面聚类算法的例子
- kmeans算法。opencv上面聚类算法的例子，是一个很好的学习程序。-kmeans algorithm. A good example for learning kmeans.
C语言实现256点FFT基2算法
- C语言实现256点FFT基2算法，已调试过，结果正确。-C-2 with 256 points FFT-based algorithm, has been debugged, the results are correct.
OPENCV写的一个小程序
- OPENCV写的一个小程序 包括将彩色图片转成灰度图以及做阈值分割和主成分分析的功能-OPENCV write a small program, including a color picture converted to grayscale and make thresholding and principal component analysis of functional
QGIS实例程序，包括加载图层
- QGIS实例程序，包括加载图层，缩小放大等-QGIS sample programs, including the loading layer and zoomin/zoomout layer
opencv的常用dll文件、include头文件、lib库文件
- opencv的常用dll文件、include头文件、lib库文件，做opencv相关编程的时候需要。-opencv common dll files, include header files, lib library files, do opencv-related programming time required.
混合高斯背景建模用于检出背景
- 混合高斯背景建模用于检出背景，并提取前景，在OPENCV环境下操作进行的。是数字图像处理领域不可缺少的一种处理方式。OPENCV库里含有的函数在数字图像中的作用都是不可获取的，用起来简单又便捷，建议OPENCV从头认真学起-Gaussian mixture background modeling for the detection of background and foreground extraction, OPENCV environment in the operation. The f