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byjc
说明： 对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。(For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.)
- 2008-10-26 18:49:00下载
- 积分：1
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PCA
主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)
- 2021-01-28 21:48:40下载
- 积分：1
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bayesthresholding
说明： 这个代码是基于贝叶斯的阈值分割,很有用的(This code is based on the Bayesian threshold segmentation, very useful)
- 2008-12-02 20:14:17下载
- 积分：1
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LBP
主要用于图像处理，局部二值模式，人脸识别方面(Mainly used for image processing, local binary patterns, face recognition area)
- 2010-11-18 19:59:11下载
- 积分：1
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duqushipintibeijing
视频读取并提取目标背景 背景要求是静止的 效果很好(Video read and extract the target background static background requirements are well)
- 2009-03-03 10:15:16下载
- 积分：1
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HumanMotionDetection
从人流统计的实际工程出发,实现了基于计算机视觉的人体运动检测及跟踪系统,采用“差影法”滤掉静止帧,使用自适应的一阶递归滤波及帧差法提取运动区域,并通过数学形态滤波的开运算和闭运算改善运动区域提取效果。实验结果证明本运动跟踪方案处理简单高效
、抗噪能力强,可以完成复杂背景下运动目标的实时性检测与跟踪。(Flow statistics from the actual project, the realization of computer vision-based human motion detection and tracking system, using )
- 2007-08-14 15:51:01下载
- 积分：1
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Hall：2400测电流+2182测电压
测量hall 效应 2182表侧电压，2400表加电流。。。。。。。。。。。。。。。(hall measurment 2182 measure voltage 2400 measure current......................................)
- 2021-04-01 09:49:08下载
- 积分：1
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meanshift_filter
利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)
- 2019-02-13 16:53:57下载
- 积分：1
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GroupSparseBox_V3
组稀疏表示，可用于信号的稀疏表示，内有多个demo(GroupSparseBox_V2, it can be usef in singal sparse model)
- 2020-06-16 22:40:01下载
- 积分：1
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IMX377CQT_Data-Sheet(E15414A57)_150713
说明： imx377 手册 imx377 datasheet imx377 datasheet(imx377datashee, imx377datasheet,imx377datasheet)
- 2020-06-23 20:00:01下载
- 积分：1
