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sift
sift匹配算法 尺度不变变换 特征描述子 特征点匹配 (sift match)
- 2020-12-10 10:49:21下载
- 积分:1
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ClockDemo
一个时钟的简单实例。背景为白色,可根据实际需要改表盘等。(A simple example of a clock. The background is white, can be changed according to the actual needs of the dial.)
- 2016-03-11 14:37:18下载
- 积分:1
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motioncompensation
在成像平台运动的情况下通过对因为平台运动的补偿实现目标运动信息获取(Imaging platform in the case of movement of movement as a platform to achieve the objectives of the compensation information acquisition campaign)
- 2009-07-08 09:06:15下载
- 积分:1
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fast-matlab-src
快速角点检测算法,本算法针对图像中存在的线和点进行检测,算法通过matlab程序实现,结果表明具有很好的效果(Fast corner detection algorithm, the algorithm for images that exist in the line and point detection algorithm matlab program, results show that with good results)
- 2008-12-21 14:11:03下载
- 积分:1
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sichashufenjie
简单的几个四叉树分解程序,主要用于图像的分割(Several simple quadtree decomposition procedure, mainly used for image segmentation)
- 2008-05-18 18:19:16下载
- 积分:1
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GAC_Matlab
G测地活动轮廓模型的代码,是基于图像的梯度信息进行处理的,属于水平集范畴(Measured the active contour model code is based on the gradient of the image information processing, belonging to the scope of the level set)
- 2012-06-04 20:57:45下载
- 积分:1
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MatlabSIFT
MATLAB 计算医学图像的配准,融合 基于SIFT方法的配准()
- 2007-08-03 21:49:20下载
- 积分:1
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105230290deblur_code_1_2
Hessian FUNCTION HESSIAN
- 2018-07-22 21:52:13下载
- 积分:1
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Matlab_based_DIC_code___Version_1___130814_EJ
Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.
- 2013-08-18 15:51:35下载
- 积分:1
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liantongyuzongmianjiyushuliang_DGlearn
说明: 通过利用“Otsu”方法对图像进行全局阈值分割处理。然后,将灰度图转化成二值图,为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量,并测量标注矩阵中每个标注区域的属性,获得每个标注区域的长度。最后通过寻找每个区域的重心数,即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)
- 2019-11-14 22:33:51下载
- 积分:1