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Description: 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。-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.
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Author: 林宏津 |
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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。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。-Otsu algorithm can be said to be adaptive to calculate the single threshold (for converting images to gray scale image 2) simple Efficient methods. Algorithm for the importation of gray image histogram analysis of histogram is divided into two parts. makes two of the distance between the largest. Demarcation point out the threshold.
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Author: dfsf |
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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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Size: 2048 |
Author: sdf |
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Description: 本人改进的关于自适应分割方法，结合了大津法获得的阈值作为初始阈值，可以提高运行速度和分割效果-I improved on the adaptive segmentation method that combines the Otsu threshold obtained as the initial threshold, can improve speed and segmentation results
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Author: 黄玉 |
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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: 用Matlab实现的多种基于阈值的图像分割方法，含有大津法，最大熵，聚类等方法-Using Matlab to achieve a variety of threshold-based image segmentation method, which contains Otsu method, maximum entropy, clustering and other methods
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Size: 11264 |
Author: 李艳 |
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Description: Compute 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). -Compute 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).
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Author: fangfei_666 |
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Description: 大津法由大津于1979年提出，对图像Image，记t为前景与背景的分割阈值，前景点数占图像比例为w0， 平均灰度为u0；背景点数占图像比例为w1，平均灰度为u1-Otsu method by Otsu in 1979 suggested that the image Image, remember t for the foreground and background segmentation threshold, the prospect of accounting for the image ratio of points w0, the average gray level for u0 background image representing the ratio of points w1, the average gray level for u1
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Author: wangyi |
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Description: OTSU 算法,自适应计算单阈值对输入的灰度图像的直方图进行分析,将图像二值化。-OTSU算Yang,自适Beckmannia算such as the number of阈值Qin Huai 入 cavity threshold standard像only source of standard vehicles直cavity shallow Pleiades Xu, Wei Zhao值old woman像standard 。
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Author: 王海兵 |
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Description: 通过此算法选取出来的阈值非常理想，对各种情况的表现都较为良好。虽然它在很多情况下都不是最佳的分割，但分割质量通常都有一定的保障，可以说是最稳定的分割。由上可知，大津算法是一种较为通用的分割算法。-Through this algorithm to select the threshold by the very satisfactory performance of the various situations are relatively good. Although in many cases it is not the best partition, but the quality of segmentation is usually a certain degree of protection, it can be said is the most stable partition. From the above we can see that Otsu algorithm is a segmentation algorithm is more generic.
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Author: 张子木 |
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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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Size: 2048 |
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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Size: 450560 |
Author: 孙琰 |
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Description: traditional otsu threshold algorithm imlementation used in image processing
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Size: 1024 |
Author: yilmaz urgun |
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Description: 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
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Size: 1024 |
Author: xinghuidong |
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Description: otsu threshold, run on image to get value, then do binary thresholding
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Size: 1024 |
Author: kkk |
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Description: 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
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Size: 10292224 |
Author: coolbage |
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Description: 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.
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Size: 2544640 |
Author: 朱磊 |
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Description: 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.)
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Size: 3072 |
Author: Giovanna |
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