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Osto
- 最大类间方差法又称otus方法，是日本学者大津展之在最小二乘法原理基础上提出来的，其本质是一种阐值分割方法。 -Otsu method, also known as otus method, Otsu, Japan scholars in the development of the least squares method based on the principle put forward by its very nature
tuxiangfenge
- 利用类间方差阈值算法实现图像的分割处理；利用形态学处理进行处理结果修正。 -Threshold using Otsu algorithm image segmentation use of morphological processing for processing the results of correction.
Otsu
- 采用最大类间方差求解自适应阀值实现图像的分割-Solved by adaptive Otsu threshold segmentation of image
Threshold-segment
- 应用此最大类间方差法实现图像分割，分割后效果稳定。-Apply the Otsu method of image segmentation, the segmented results and stability.
Otsu
- 最大类间方差法的VC++和matlab源程序，还包括其原理介绍的doc文档-Otsu method of VC++ and matlab source, but also introduced the principle document doc
Otsu-segmentation-method-for-check
- 应用最大类间方差方法，对支票印鉴图像进行分割处理-Application of Otsu method, image segmentation seal check
otsu
- 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
ostu
- 最大类间方差法（OSTU）对图像进行分割-Otsu method (OSTU) segmented image
otsm2
- 该代码实现了“大津法”，也就是最大类间方差算法，完全由本人自己编写，结果很好。-The code of the " Otsu method" , which is the Otsu algorithm, written entirely by my own, good results.
image_segment
- 最大类间方差法图像阈值分割，基于matlab平台，适用于一维二维图像分割-Otsu method of image segmentation, based on matlab platform for one-dimensional two-dimensional image segmentation
NewShowGraphic
- 可静态显示min图片文件和动态边采图边显示图片，同时运用固定阈值法、最大类间方差法、bernsen法、niblack法、自适应阈值法等方法进行二值化-Picture files can be static and dynamic display min side edge map display pictures taken while using fixed threshold method, Otsu method, bernsen
OpenCVotsu
- Opencvotsu运用基于opencv的最大类间方差发进行图像分割，效果不错 -adopt the image segmentation of Otsuwhich is baseed on Opencv，the effect is good
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.
yuzhi
- 采用三种不同算法求取二值化的阈值（双峰法，迭代法，最大类间方差法）-Using three different algorithms to strike a binarization threshold (bimodal method, iterative method, Otsu method)
dalufa
- MATLAB实现最大类间方差法,效果一般-In MATLAB Otsu method, the general effect
OSTU_2DHist_Seg
- 基于2维直方图信息的图像最大类间方差分割算法实现，速度较慢，但效果还可以-Based on 2-D image histogram information Otsu segmentation algorithm, slower, but the results can be
OtsuHist
- Otsu是按照图像的灰度特性，将图像分成目标和背景两部分，背景和目标之间的类间方差越大，说明构成图像的两部分的差别越大。当部分目标错分成背景或者部分背景错分成目标，都会导致两部分的差别变小。因此，使类间方差最大的分割意味着错分概率最小。-Otsu is based on gray-scale image features, the image is divided into two parts, the target and backg
grayhist
- 最大类间方差法对图像进行阈值分割，是一种自适应的阈值确定方法-Otsu method for image thresholding, the threshold is an adaptive method for determining
five
- 常见的五种图像分割方法 阈值分割 最大类间方差法等-Five common methods of image segmentation thresholding Otsu method
task
- 数值图像处理中的“最大类间方差算法求解自适应阈值”。已测试通过，对于学习数字图像处理很有帮助。-Numerical image processing, " Otsu adaptive threshold algorithm." Have been tested for learning digital image processing helpful.