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demo
对BMP文件进行图像处理，包括：边缘检测、频域变换、几何变换、图像变换校正、灰度变换、图像编码、平滑和匹配(BMP files for image processing, comprising: an edge detection, a frequency domain transformation, geometric transformation, image transformation correction gradation conversion, image coding, and matching the smooth)
- 2014-01-12 10:17:03下载
- 积分：1
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新建文件夹
在ycbcr颜色空间分割火焰，并找到火焰质心(Split the flame in the YCbCr color space and find the center of mass of the flame.)
- 2018-06-06 14:47:07下载
- 积分：1
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reproject_mod04
批处理与重投影MODIS MOD04 数据(Reproject MODIS s mod04 data)
- 2021-04-21 20:38:49下载
- 积分：1
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digital-image-homework.doc
图像处理作业：基于高频补偿算法实现图像滤波及分析
数值分析作业：四种方法实现求解根号3的值(Image processing operations: image filtering and analysis of numerical analysis operations: four methods based on high-frequency compensation algorithm to solve the root of the value)
- 2012-11-27 16:19:16下载
- 积分：1
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GMM高斯混合模型进行背景建模（Matlab）
转：https://blog.csdn.net/jinshengtao/article/details/26278725
混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。
在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation.
In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)
- 2020-11-01 09:49:54下载
- 积分：1
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High-resolution-image
于轻小型光学成像系统，小孔径限制了
图像的极限分辨率，衍射退化造成了截止频率外信息的丢失成像系统所期望的
大视场不可避免的带来边缘视场的像差恶化，各视场退化情况不同，影响信息的
判读
(Small light optical imaging system, the small aperture limit the ultimate resolution of the image, diffraction degradation aberration deterioration of the desired cutoff frequency outside the loss of information imaging system field of view inevitably bring the edge of the visual field, each referred to as field degradation, affecting the interpretation of the information)
- 2012-08-02 11:23:28下载
- 积分：1
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Matlab
说明： 针对弱小目标信号提出的RXD异常检测算法，实现对目标的检测(A RXD anomaly detection algorithm for dim and small target signals is proposed to realize target detection.)
- 2020-07-21 19:58:45下载
- 积分：1
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m_files
说明： find_center:寻找图像的形心，即图像几何中心点的检测。
otsu:otsu分割
sobelNedge：sobel边缘检测
catch_point:全局阈值分割函数(Find center: find the centroid of the image, that is, the detection of the geometric center of the image.
Otsu: Otsu segmentation
Sobel edge: Sobel edge detection
Catch point: global threshold segmentation function)
- 2020-05-17 22:23:27下载
- 积分：1
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Qt_RobHess_Sift
sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。
下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift源码也是采用Rob Hess的。代码可以在他的主页上下载：http://blogs.oregonstate.edu/hess/code/sift/
这里我下载的是windows版本的，并采用Qt做了个简单的界面。(sift algorithm is self-evident the importance of the cv field, the author of the article referenced in the cv sector is number1 this blog I just sift algorithm knowledge compiled under, so as not to forget. This article compares the earlier blog post opencv source code analysis (3): check the preface of the feature points 1 the opencv bring their own sift to do a simple experiment, but this time Rob Hess' s sift source to experiment. In fact, with the opencv version sift algorithm is Rob Hess, only slightly packing the next. Below to do the next test, test sift code using the code of Rob Hess, sift source opencv version of Rob Hess. The code can be downloaded on his home page: http://blogs.oregonstate.edu/hess/code/sift/ here I downloaded the windows version, and using Qt to do a simple interface.)
- 2021-04-20 21:28:50下载
- 积分：1
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mycombine
进行图像区域合并操作,能够较为有效，较好的进行图像合并(combine the image，very effcient)
- 2014-05-21 20:29:55下载
- 积分：1
