搜索资源列表
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
ostu
- 最大类间方差法求阈值-thanks
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)
otsu_2d
- 二维最大类间方差法利用原图像与其邻域平滑图像构建二维直方图，求最优阈值，具有较好的抗噪性-Two-dimensional Otsu method uses the original image and its neighborhood to build a smooth two-dimensional image histogram, find the optimal threshold, has good noise immunity
yuzhi
- 用matlab求图像阈值分析程序，一种是直方图阈值法一种是最大类间方差-Using matlab and image threshold analysis program, a variance between a Histogram method is the largest class
code
- 最大类间方差法(OTSU)求阈值 . -a threshold selection method gray-level histograms
the-method
- 利用最大类间方差法求取最优阈值，并利用阈值对图像进行分割处理。-To obtain the optimal threshold by the Otsu method, and the image segmentation by threshold.
ostu
- 此代码应用于图像分割，是基于类间方差的大津法求分割阈值-This code applies to image segmentation is based on the variance between two classes of Otsu threshold segmentation uated