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. Platform: |
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Author:陈其星 |
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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. Platform: |
Size: 1024 |
Author:刘博 |
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Description: 图象类间方差阈值分割，用于图象分割，能得到很好的效果!-image category Otsu threshold segmentation for image segmentation, can be very good results! Platform: |
Size: 1024 |
Author:文特 |
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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 Platform: |
Size: 2048 |
Author:sdf |
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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 Platform: |
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 Platform: |
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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). Platform: |
Size: 2048 |
Author:fangfei_666 |
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Description: 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 Platform: |
Size: 1024 |
Author:chenyuanlu |
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Description: 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 Platform: |
Size: 1024 |
Author:gyq |
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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. Platform: |
Size: 2048 |
Author:ltrko9kd |
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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 Platform: |
Size: 450560 |
Author:孙琰 |
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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 Platform: |
Size: 1024 |
Author:Andy |
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Description: 实现24位RGB彩色图像，先转化为灰度图像，而后用大津法实现二值化，并显示阀值。-To achieve 24-bit RGB color images, the first converted to grayscale images, then using Otsu binarization method to achieve and display threshold. Platform: |
Size: 3072 |
Author:budongwei |
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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 Platform: |
Size: 1024 |
Author:xinghuidong |
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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 Platform: |
Size: 10292224 |
Author:coolbage |
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Description: 利用matlab自动阈值，自动阈值法中的一种(One of the automatic thresholding methods using the Matlab automatic threshold) Platform: |
Size: 9216 |
Author:兰柯一梦
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