搜索资源列表
ToneMapping
- 色调映射实现，用一张图像的内容拟合另一张图像的色调分布曲线，基于颜色直方图统计进行最佳适配实现-Tone mapping implementation, the content of an image with another image of the color fitting distribution curves were based on color histogram to achieve the best fit
main
- 直方圖等化(Histogram Equalization)為一種使用統計方法的影像處理程式設計,它的功能為將統計直方圖的色彩分布平均的打散在直方圖裡,也就是說,讓一張圖的直方圖分布均勻化,同樣的也是使用到LUT(Look-up Table)的方法 而在設計直方圖等化不可或缺的就是需要先知道統計學的機率密度函數(Probability Density Function,PDF)以及累積分配函數(Cumlative Distribution Function,CDF)相關的基本概念,在這邊
000
- Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the dis
Histogram
- 该程序主要是在OpenCV的环境下实现直方图的，显示的是经典的lina图像的直方图分布-The program is mainly achieved in the circumstances OpenCV histograms, showing the classic image of the histogram distribution of lina
qq
- OpenCV也提供了另一個資料結構來做Rand的實作,CvRandState,被包在"cvcompat.h"裡,"cvcompat.h"的完整意思是Computer Vision Compatility,CvRandState的特色是可以選定常態分佈及均勻分佈,不過,它只能運用在矩陣跟一維陣列.-OpenCV also provides another data structure to do Rand' s implementation, CvRandState, was wrapped
k_means
- 实现K-means算法，高斯随机分布抽取数据 利用k-means算法实现分类-Implement K-means algorithm to extract the data using Gaussian random distribution of k-means classification algorithm
IMAQ-jiqishijue
- 机器视觉系统是指通过机器视觉产品（即图像摄取装置，分CMOS和CCD两种）把图像抓取到，然后将该图像传送至处理单元，通过数字化处理，根据像素分布和亮度、颜色等信息，来进行尺寸、形状、颜色等的判别。进而根据判别的结果来控制现场的设备动作。-Machine vision system is a machine vision products (ie image acquisition device, the two sub-CMOS and CCD) to capture the image, an
mac_opencv
- 利用opencv对矩阵进行的运算操作等，可以产生服从均匀分布的随机矩阵，也可以产生服从正态分布的随机矩阵，有矩阵乘法，加法，除法等，非常方便，可以直接拿来用的。-Using opencv on computing matrix operations, etc., can produce uniformly distributed random matrix, can also produce a normal distribution of random matrices, a matrix m
camshiftdemo
- 利用目标的颜色直方图模型转化为颜色概率分布图，进行跟踪。-the Color histogram model of goal convert color of probability distribution ,then tracking
ForDetail
- 用于获取图像的每个像素值的分布状况，输出结果保存在相同目录下的txt文件中。-Used to obtain the distribution of values of each pixel of the image, save the output results in a txt file in the same directory.
Gaussian1.0
- 一种由高斯分布公式入手的高斯噪声的添加方法-A Gaussian distribution formula Gaussian noise added to start method
water_cheti
- 8.4 水域分割 水域分割，又称watershed变换，是模仿地形图浸没过程的一种形态学分割算法，其本质是利用图像的区域特征来分割图像的，它将边缘检测与区域成长的优点结合起来，能够得到单像素的，连通的，封闭的，并且位置准确的轮廓。因此是应用比较广泛的一种图像分割算法。 -Image Watershed Segmentation This is the implementation of the algorithm based on immersion model.
zhifangtujunheng
- 对一幅图像进行直方图均衡化。图像像素值集中在比较窄范围内，直方图均衡化就是将窄的实际亮度值范围映射到另一个更宽，理想统一的亮度值分布。-An image histogram equalization. Image pixel value is concentrated in a relatively narrow range, the narrow practical range of luminance values is mapped to another wid
Gaussian-Blur
- This project for OpenCV C++. This is the most commonly used smoothing method. This is also used to eliminate noises in an image. Gaussian kernel is slided across the image to produce the smoothed image. Size of the kernel and the standar
guassian-discriminant-analysis
- 基于opencv实现的c++版高斯判别分类，随机生成两类满足正态分布的训练样本点，利用高斯判别分析进行分类-Based on c++ version of the opencv, we realized gaussian discriminant classification by randomly generating two classes meet normal distribution of the training sample points, and used gaussian di
The-angle-between-two-picture
- 利用方向梯度直方图分布求图片旋转角度，通过对比两幅图片直方图中的最大值对其角度进行计算-Image rotation angle by using direction gradient histogram distribution
Inpaint
- The precise terms and conditions for copying, distribution and modification follow
LBP
- 一幅图像的纹理是在图像计算中经过量化的图像特征。图像纹理描述图像或其中小块区域的空间颜色分布和光强分布。纹理特征的提取分为基于结构的方法和基于统计数据的方法。一个基于结构的纹理特征提取方法是将所要检测的纹理进行建模，在图像中搜索重复的模式，该方法对人工合成的纹理识别效果较好。但对于其他图像中的纹理识别，基于统计数据的方法效果更好。-A texture image is the image in the calculation of the quantized image features. Sp
63047111
- 时频分布显示源代码,适合于非稳态的时频联合分析,可直接用于(Time-frequency distribution shows the source code, suitable for time-frequency joint analysis of unsteady, can be directly used for)
decond-clipboard
- 运动检测matlab程序和广义高斯分布的matlab程序(Motion detection matlab and generalized gaussian distribution of the matlab program)