▍1. one-based
一种基于背景减法和帧差的运动目标检测算法(Based on background subtraction and frame difference moving target detection algorithm)
一种基于背景减法和帧差的运动目标检测算法(Based on background subtraction and frame difference moving target detection algorithm)
根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码,作者是 Chris M. Christoudias, Bogdan Georgescu,代码经我看了后加了丰富的中文注释,希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作,通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)
根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码,作者是 Chris M. Christoudias, Bogdan Georgescu,代码经我看了后加了丰富的中文注释,希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作,通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)
ostu二值化算法vc实现,基于MIL图像处理软件包将图像解析,通过ostu求取二值化阈值,实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)
使用光流法对运动目标进行估计,要使用opencv一起实现。效果还不错(Using optical flow method to estimate the moving target, to use opencv implemented together. Results were pretty good)
DIX公式优化求解层速度,使得速度变得更加平滑。(DIX formula optimization solution velocity, making speed becomes smoother.)
对输入视频进行处理,使用高斯背景建模的方法,得到视频前景,对于人群密度估计具有很大作用。(Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.)
Opencv处理图像,用ostu法实现图像的二值化(Opencv image processing, using ostu method to achieve image binarization)
Opencv处理图像,用ostu法实现图像的二值化(Opencv image processing, using ostu method to achieve image binarization)
K均值聚类算法对图像进行分割,实验用程序,亲测可用。(K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.)
图像分割源码,是一种基于图论的方法做的。分割的质量超好,不信的话下载下来看,你就清楚了!(Image segmentation source code, is a method based on graph theory to do. Segmentation quality is super good, do not believe it download the next run, you will be clear!)
最小二乘图像影像匹配方法,一个很详细的源码例程,有过程有结果,希望对初学者有帮助。高斯解方程,以及最小二乘匹配,里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)
最小二乘图像影像匹配方法,一个很详细的源码例程,有过程有结果,希望对初学者有帮助。高斯解方程,以及最小二乘匹配,里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)
针对大尺度图像配准和不同传感器图像配准问题, 介绍了一种基于 SIFT 的图像配准方 法。(For large-scale image registration and image registration problem from different sensors, introduces a SIFT-based image registration method.)
分水岭算法的实现,用VC++语言实现,构成可靠的算法实现(the implement of the watershed)
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源码包括了常用的图像处理方法,代码详细,适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)
源码包括了常用的图像处理方法,代码详细,适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)