搜索资源列表
基于opencv2.2的大津法分割
- 基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into
opencv-ostu
- 基于OPENcv大津阈值分割运动目标检测方法的源代码- the code of otsu for moving goal detection based on opencv
otsu
- 利用opencv采集视频输入，并将输入的图像调用OTSU算法，提取运动目标-Using opencv capture video input, and input image is called OTSU algorithm to extract moving objects
Otsu
- 基于opencv的，使用Otsu方法对灰度图像进行自适应二值化-using Otsu method to binary the gray image adaptively based on opencv
GMMS
- OPENCV下基于高斯混合模型的图像分割，程序中还有 基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
OTSUalgorithmbasedonOPenCV
- 在VC++6.0的平台上代码实现了OTSU算法-In VC++6.0 code on the platform of the OTSU algorithm
otsuPwebcam
- otsu + webcame 最佳二值化 -otsu+ webcame best binarization
opencv_Based_otsu
- 基于Opencv的otsu自动阈值分割算法-The otsu Opencv based threshold segmentation algorithm automatically
otsu-opencv
- 本算法利用遗传算法根据otsu原则迭代计算得到图像的最优分割阈值。 使用了opencv库。-otsu use opencv
flameDetectionBasedOnOhta
- Viusal C++6.0环境下配置opencv1.0采用Otsu算法和Ohta颜色空间对室外环境下的火焰进行准确的分割-Configuration opencv1.0 viusal C++ 6.0 environment using the Otsu algorithm and Ohta color space for accurate segmentation of the flame in the outdoor environment
Otsu--segmentation
- opencv大津法阈值分割，很不错的资料，共享一下，和大家共勉！-The opencv Otsu threshold segmentation, the very good information, sharing, and encourage one another!
otsu
- 利用opencv做的关于otsu算法的目标识别程序，其实别主要基于颜色-Target recognition program using the opencv otsu algorithm, in fact, do not mainly based on the color
histMeanValue
- 包含三个功能的演示。直方图，otsu算法，计算灰度中值。最后统计0像素占的比例。 float getMeanValue(IplImage* image) //灰度均值 int getMedian(IplImage* image) //灰度中值 void otsu (IplImage *image) //大律法阈值分割-Contains three functional demo. float getMeanValue (IplImage* image) //gray ave
ostu
- 代码实现大津法算法(OSTU)，可以实现对灰度图的二值化(黑白图像)-The code to achieve the the Otsu Algorithm (OSTU), can be achieved binarization of grayscale (black-and-white images)
otsu
- 最大类间方差算法进行图像分割，分割效果经测试，不错-image segmentation(otsu)
Otsu in opencv
- Otsu in opencv have main function
Otsu
- Otsu in opencv have main function
pcnn---otsu
- Pcnn与otsu结合，自适应找出Pcnn点火次数！-It is pcnn base on OTSU,can stop the program adaptive.
ostu
- 大津法（OTSU）是一种确定图像二值化分割阈值的算法，由日本学者大津于1979年提出。从大津法的原理上来讲，该方法又称作最大类间方差法，因为按照大津法求得的阈值进行图像二值化分割后，前景与背景图像的类间方差最大（何为类间方差？原理中有介绍）。(Otsu method (OTSU) is a set of image binarization threshold segmentation algorithm, proposed by Japanese scholars ohtsu in 1979.
Otsu方法
- opencv做的otsu方法,一、Otsu算法原理 Otsu算法（大津法或最大类间方差法）使用的是聚类的思想，把图像的灰度数按灰度级分成2个部分，使得两个部分之间的灰度值差异最大，每个部分之间的灰度差异最小，通过方差的计算来寻找一个合适的灰度级别来划分。 所以可以在二值化的时候采用otsu算法来自动选取阈值进行二值化。otsu算法被认为是图像分割中阈值选取的最佳算法，计算简单，不受图像亮度和对比度的影响。因此，使类间方差最大的分割意味着错分概率最小。 设t为设定的阈值。(otsu made