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Description: OTSU方法计算图像二值化的自适应阈值，OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法。下面的代码最早由 Ryan Dibble提供，此后经过多人Joerg.Schulenburg, R.Z.Liu 等修改，补正。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。都是老外写的，经典哦。-OTSU images calculated value of the two adaptive threshold, OTSU algorithm can be calculated adaptive threshold (for conversion to gray scale images binary images), a simple and efficient manner. The following code from the earliest to provide Ryan Dibble, after a more than Joerg.Schulenburg, R. Z. Liu amend the correction. Algorithm for the importation of gray-scale image histogram analysis of histogram is divided into two parts, Part 2 makes the distance between the largest. Demarcation point out the threshold. Foreigners are written in the classical oh.
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Author: 陈其星 |
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Description: Otsu算法(灰度图像的域值分割)的C++类实现.-Otsu algorithm (grayscale image segmentation domain) Category C to achieve.
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Author: zhou |
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Description: 我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等-image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc.
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Author: 史振志 |
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Description: 这是matlab的otsu处理图象的算法，请高手们指正-This is the Otsu Matlab image processing algorithms, experts used the correct
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Author: 初学者 |
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Description: Otsu-最大类间方差Matlab代码 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,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
％ 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。-Otsu- Otsu Matlab code Otsu Principle : Otsu law by Japanese scholars in the large-1979's, is an adaptive threshold established methodology, also known as big-law, referred to Otsu. It is based on image characteristics of the gray image can be divided into the background and objectives of Part 2. Background and objectives between the between-class variance%, which meant that the two images form part of the greater difference, When some background into the wrong target or part of the background into the wrong target will lead to sub-2% difference becomes smaller.
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Author: 刘博 |
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Description: 计算有效区域内的OTSU值:
通过标记图像,求取原图像中被标记的区域的OTSU阈值-Calculation of the effective region OTSU value: By marking images, to strike the original image of the region is marked OTSU threshold
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Author: sdf |
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Description: 这是本人下载和编译过的关于大津法二值化的matlab代码，效果比较好，可以作为分割的有效辅助-This is, I downloaded and compiled on the Otsu binarization method of matlab code, the effect is better, can be used as an effective auxiliary partition
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Author: 黄玉 |
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Description: 一种改进的基于Otsu理论的图像分割方法，从算法运行速度和分割效果两方面对最大类间方差法进行改进-An improved Otsu-based theory of image segmentation methods, from the algorithm speed and segmentation results both on the maximum between-class variance method to improve
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Author: 庞德文 |
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Description: 用C++实现的OTSU大津阈值分割方法，使用的是图像的全局阈值-With C++ Realize the OTSU Otsu threshold segmentation method, using images of the overall threshold
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Size: 2048 |
Author: 李艳 |
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Description: otsu算法应用于图像分割--图像分割-直方图-Otsu algorithm is applied to image segmentation image segmentation- Histogram
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Author: Lyf |
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Description: 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.
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Author: zhangjie |
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Description: 最大类间方差法，给出了详细的介绍，希望能对大家学习图像处理有帮助-Otsu law, gives a detailed introduction to all of us hope to be helpful to learn image processing
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Author: 王歌 |
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Description: 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
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Author: zhangzhang |
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Description: 图像的otsu分界算法的实现，不是调用函数的，是底层实现-otsu partition
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Author: 赖师悦 |
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Description: 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 Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.- 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 Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
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Author: ltrko9kd |
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Description: 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
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Author: 孙琰 |
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Description: 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 a two-dimensional attribute-based Automatic Image histogram thresholding method is conducive to writing papers
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Author: 孙琰 |
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Description: 用matlab编写 调试可以使用 分割效果良好 -matlab
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Author: xcx |
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Description: 一维自适应阈值分割大津法的源程序是用matlab写的-One-dimensional Otsu adaptive threshold segmentation method source code is written in matlab
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Author: feifei |
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Description: otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面配有图像均衡化的程序一起使用，效果更好-otsu algorithm, you can get adaptive threshold for image binarization. Which is equipped with image-based program used in conjunction with a balanced, better
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Author: Andy |
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