搜索资源列表
22
- 一种基于最大类间方差和区域生长的图像分割法
imagesegment
- 压缩包包括大津法和迭代法阈值分割,大津法是使得类间方差最大,得到目标的阈值。-Compressed packet including the method and iterative Otsu thresholding method, Otsu method is to make the maximum between-class variance, the threshold target.
finger3
- 判断分析法从图象灰度直方图中把灰度值的集合用阀值 T分成两类,然后根据两个类的均值方差(类间方差)和各类的方差(类内方差)的比为最大来确定阀值。-Analysis to determine from the image histogram of the gray value threshold with the set T into two categories, and then based on two types of mean-variance (between-class varian
otsu
- otsu算法确定二值化阀值,最大类间方差是由日本学者大津(OTSU)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。 -In computer vision and image processing, Otsu s method is used to automatically perform histogram shape-based image thresholding,[1] or, the reduction of a graylevel image t
recognize_face
- 利用灰度积分投影直接对人脸图像进行检测和眼睛定位是一种常用的算法,但是直接采用该算法会受到背 景、特征等因素的影响,识别准确率较低。提出了一种基于最大类间方差阈值和区域膨胀相结合的检测与定位算法。该算 法首先计算最大类间方差设置阈值,把灰度图像转换为二值图像并检测出人脸区域,然后通过对该人脸区域中的连通区域 进行膨胀及连通性处理,精确定位眼睛坐标。实验表明,此算法可靠,具有较好的识别效果。-face recognized
code
- 通过matlab实现最大类间方差,根据迭代选择阈值法原理编写.-Through matlab maximum between-class variance, according to the iterative threshold selection method works written.
OSTU_yuzhifenge
- 用matlab实现OSTU大津法算法,得到最大类间方差的阈值。对于图像处理的初学者可以更好的理解大津法的原理-The realization of OSTU with Matlab,which can get the maximum variance between clusters
yuzhi
- 用matlab求图像阈值分析程序,一种是直方图阈值法一种是最大类间方差-Using matlab and image threshold analysis program, a variance between a Histogram method is the largest class
Otsu-sf-C
- Otsu算法 最大类间方差算法 大津法 图像分割 C语言程序-Otsu algorithm Otsu algorithm Otsu image segmentation C language program
adaptive-binarization
- 用matlab编写的简单程序,用自适应门限法将图像二值化,门限是通过最大类间方差确定-Simple program using matlab, using adaptive threshold method image binarization threshold is determined by Otsu
threshold
- 阈值分割分各种算法,如基于灰度直方图的阈值分割,迭代阈值分割,最大类间方差阈值分割法,局部阈值法等。-Thresholding of various algorithms, such as histogram-based thresholding, iterative threshold segmentation, Otsu threshold segmentation method, local threshold method.
Ostunew
- ostu分割法实现代码,找出最大类间方差与最小类内方差比值最大的阈值,进而实现对图像的分割-Implementation code otsu segmentation method to find within Otsu class variance ratio of the maximum and minimum thresholds, so as to realize image segmentation
代码
- 图像分割,图像增强,断点连接均有效,小波变换中通过改变高层和底层小波系数的权重达到增强目标的作用。(Image segmentation, image enhancement, and breakpoint connection .By the wavelet transform, the target is enhanced by changing the weights of the high-level wavelet coefficients and the underlying wav
OTSU
- 最大类间方差(OTSU)法,它是一种统计判决法,不需要人为设定其他参数,是一种自动选择阈值的方法。(Maximum inter class variance (OTSU) method, which is a statistical decision method, does not need to set other parameters artificially. It is a method of automatically selecting threshold.)
otsu-master
- Otsu最大类间方差法原理,利用阈值将原图像分成前景,背景两个图象(The principle of the inter-class variance method of Otsu is to use the threshold to divide the original image into the foreground and the background two images)
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
自适应阈值
- 最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。因此,使类间方差最大的分割意味着错分概率最小。(The largest between-class variance method was proposed by the Japanese
otsu+ga
- otsu最大类间方差法和ga遗传算法相结合实现图像分割(otsu+ga,to acheive image segmentation)
OSTU
- 用OSTU和KSW实现多阈值图像分割,matlab代码(Image Segmentation Using OSTU and KSW)