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Image-texture-analysis
对图像进行纹理处理,为图像识别、目标跟踪创造条件。主要分析:惯性矩、熵以及局部平衡性。(The image texture processing for image recognition, target tracking and create conditions. Main analysis: moment of inertia, entropy, and local balance.)
- 2011-05-18 09:14:03下载
- 积分:1
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salt-and-pepper-
halcon代码 ,对图像添加高斯噪声 椒盐噪声(halcon code, add the image Gaussian noise impulse noise)
- 2015-06-29 10:40:11下载
- 积分:1
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picture3
讲解滤波与二值图像处理,比较简单的图像处理源码(Explain the filtering and binary image processing, image processing source code is relatively simple)
- 2011-12-27 19:14:54下载
- 积分:1
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tiaoshi1
计算机图像处理,MFC实现图像的直方图显示、直方图的均衡化,以及中值滤波等功能(Computer image processing, MFC histogram of image display, histogram equalization and median filter and other functions)
- 2010-10-19 13:10:31下载
- 积分:1
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Histogram-method
利用直方图双峰法选取适当阈值对图像进行二值化处理。此法只适用于直方图为双峰状图像。(Using the Shuangfeng method to the appropriate threshold histogram of image processing two values. This method is only applicable to the histogram of image of Shuangfeng.)
- 2015-04-14 15:56:07下载
- 积分:1
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DiffStrip
傅里叶时域频域变换图形处理S参数在时域的应用(Fourier time domain frequency domain transform graphics processing S-parameters in the application of the time-domain)
- 2012-09-05 17:03:20下载
- 积分:1
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VCPP-image-processing-chapter10
VisualC++数字图像处理技术详解第2版光盘,第十章(VisualC++ digital image processing technology Detailed Version 2 discs, Chapter X)
- 2016-04-16 14:01:27下载
- 积分:1
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19
说明: 对图像进行中值滤波,去除噪声,并与原图像进行比较(Median filter on the image to remove noise, compared with the original image)
- 2011-04-09 19:28:58下载
- 积分:1
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ICP-point-cloud-registration
三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准
效率较低,提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准,获得较好
的点云初始位置,然后在经典 ICP 算法的基础上,采用 k - d tree 结构实现加速搜索,并利用方向向量夹角阈值去除
错误点对,提高算法的效率。实验表明,本算法流程在保证配准精度的前提下,显著提高了配准效率。
(Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)
- 2016-08-01 10:34:57下载
- 积分:1
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PhotoSee
vb6 project photo see
edit
- 2012-11-18 21:04:58下载
- 积分:1