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code
说明： 实现图片、文本隐藏在图片中，并导出等操作(Implement images, text hidden in images, and export operations)
- 2019-05-18 20:07:04下载
- 积分：1
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chapter-5
Wily book Digital Image processing fundamental dip
- 2013-08-18 13:50:17下载
- 积分：1
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Segmentation-assess-Benchmark
伯克利图像小组提出来的图像分割评价指标：边界误差。(Evaluation of image segmentation. Image: Berkeley group boundary error.)
- 2015-04-18 15:22:48下载
- 积分：1
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C# 绘制圆形、矩形、三角形 实例
GDI实例3，绘制圆形、矩形等图形
- 2013-02-10下载
- 积分：1
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PinholeModel
针孔模型中单应矩阵的求解
mian函数，测试单应矩阵计算的算法，程序流程如下
1、 读入两个图像。
2、读入4组对应点。
3、调用CalcH函数计算H矩阵。
4、在第一幅图中用鼠标选择一点。
5、调用WarpH函数计算在第二幅图中的对应的。
6、显示结果.(Pinhole model for solving the homography
mian functions, test homography computation algorithm, program flow is as follows
1, read the two images.
2, 4 reads the corresponding points.
3, call CalcH function to calculate the H matrix.
4, in the first picture using the mouse to select it.
5, call WarpH function calculation in the second picture in the corresponding.
6 displays the results.
)
- 2011-01-25 19:50:23下载
- 积分：1
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IDL
利用IDL读取二进制文件、*.HDF、*.nc文件的属性(read*.hdf、*.nc file on IDL)
- 2014-11-17 09:38:46下载
- 积分：1
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FisheyeImCorr
图片鱼眼畸变校正程序。用于处理图片桶形失真枕形失真。(Picture fisheye distortion correction program. Used for processing images barrel distortion pincushion distortion.)
- 2012-10-12 14:38:29下载
- 积分：1
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kd-tree.cpp
三维点云配准kd-tree搜索算法，用于特征点的搜索匹配(3 d point cloud registration kd- tree search algorithm, is used to search of feature point matching)
- 2016-12-09 14:01:01下载
- 积分：1
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gmm
混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)
- 2014-03-25 09:01:12下载
- 积分：1
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qt数字识别
【实例简介】基于模板匹配的数字图片识别，使用opencv3进行图像处理
- 2021-06-15 00:31:14下载
- 积分：1
