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基于大津算法的阈值分割
- 基于大津算法的阈值分割，图像二值化，处理灰度图像，讲目标和背景分离,Otsu threshold segmentation
otsu.rar
- 本程序是利用最大类间方差算法求解自适应阈值，对图像进行分割,非动态阈值,This procedure is the use of maximum between-cluster variance adaptive thresholding algorithm for image segmentation, non-dynamic threshold
基于Otsu法自适应阈值的图像分割研究
- 基于Otsu法自适应阈值的图像分割研究 论文,Otsu method based on adaptive threshold for image segmentation research papers
OLD_OTSU.rar
- matlab OTSU 简易的大津算法 求最佳阈值的。,matlab simple algorithm seeking Otsu threshold.
goodotsu.rar
- 图像自适应分割，大津法计算灰度阈值，MATLAB源程序。,Adaptive image segmentation, gray Otsu threshold method, MATLAB source code.
OTSU
- 利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。 -Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
otsu2
- 大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
ostu
- 大津站直的阈值化算法，用MATLAB实现，目前较好的阈值化算法-Stand straight Otsu s thresholding algorithm, using MATLAB to achieve, the current threshold of a better algorithm
otsu
- 最大类间方差法原理：最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法-Otsu Method: Otsu is Otsu scholars from Japan in 1979 to argue that there is an adaptive threshold to determine the method, also known Otsu method
tuxintuizhifenge
- 针对类圆形堆积物图像的前景和背景在色彩或灰度上相近，难以用传统阈值分割等算法进行有效分割的问题，提出一种多方法融 合的类圆形堆积物图像区域分割策略。对图像进行滤波等一系列预分割处理后进行投影得到目标图像的外接矩形区域，以排除噪声的干扰， 在区域内采用改进的灰度共生矩阵方法进行粗分割，以解决窗口大小与分割精度的问题，采用二维OTSU 阈值分割方法对粗分割结果进行 量化。实验结果表明，该方法得到的区域分割结果边缘清晰、准确度高。-Round deposits for the prospe
opencv_otsu
- 基于opencv的otsu阈值分割。C＋＋源代码加压缩备份-Opencv based on the Otsu threshold segmentation. C++ source code add compressed backup
otsu
- OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE
OTSU
- 利用二维属性直方图的Otsu自动阈值分割方法 提出了二维属性直方图的概念 ,进而提出了一种基于二维属性直方图的图像自动阈值化方法 有利于写论文-Attributes the use of two-dimensional histogram of the Otsu threshold segmentation method automatically put forward the concept of two-dimensional histogram properties, and then
otsu
- traditional otsu threshold algorithm imlementation used in image processing
GreyThreshold
- 实现OTSU阈值。The function is based on OTSU s algorithm that had been described in "A Threshold Selection Method from Gray-Level Histograms-OTSU Threshold
otsu
- otsu threshold, run on image to get value, then do binary thresholding
Otsu
- 包含了21篇二维最大类间方差（Otsu）阈值分割方法的论文，-Contains 21 article 2 d between the most kinds of variance (Otsu) threshold segmentation method papers
Otsu-threshold-segmentation
- 吴一全等采用灰度级-梯度级构建二维直方图，并提出快速迭代算法。改进的二维Otsu法阈值分割快速迭代算法。-Wu congruent grayscale- gradient level to build a two-dimensional histogram, and a fast iterative algorithm. Improved dimensional Otsu threshold segmentation fast iterative algorithm.
otsu
- 简单的OTSU阈值分割，实现前后背景分离，运行速度快(Simple OTSU threshold segmentation, achieve the separation of background and speed.)