搜索资源列表
interclass-variance
- 采用类间方差法对图像进行单阈值分割。需要用到概率论知识-Inter-class variance method using a single threshold for image segmentation. Need to use probability theory
pic
- 用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the fu
ostu
- IDL编写的图像二值化处理程序，采用最大类间方差算法-IDL prepared binary image processing, using Otsu algorithm
adaptive-binarization
- 用matlab编写的简单程序，用自适应门限法将图像二值化，门限是通过最大类间方差确定-Simple program using matlab, using adaptive threshold method image binarization threshold is determined by Otsu
Binaryzation
- 图像二值化化. 类间方差作可分性判据, 求阀值k,使类间方差最大. -Make binary with Variance Between Class
threshold
- 阈值分割分各种算法，如基于灰度直方图的阈值分割，迭代阈值分割，最大类间方差阈值分割法，局部阈值法等。-Thresholding of various algorithms, such as histogram-based thresholding, iterative threshold segmentation, Otsu threshold segmentation method, local threshold method.
ImagProc
- 对bmp图像实现灰度变换，中值、均值滤波，sobel等边缘检测及图像分割（固定阈值法、最大类间方差法等）-Bmp image to achieve gray-scale transformation, median, mean filtering, sobel edge detection and image segmentation, etc. (fixed threshold, Otsu, etc.)
MyImage
- 对bmp图像实现灰度变换，中值、均值滤波，sobel等边缘检测及图像分割（固定阈值法、最大类间方差法等）-Bmp image to achieve gray-scale transformation, median, mean filtering, sobel edge detection and image segmentation, etc. (fixed threshold, Otsu, etc.)
Otsu
- 最大类间方差matlab代码,代码简洁实用，简单易用，适合初学者-Otsu Matlab code, the code is simple and practical, easy to use, suitable for beginners
Otsu
- Ostu最大类间方差法，对图像进行阈值的计算，以便进行下一步的分割-Between Ostu Otsu, the image is calculated threshold for the next division
PCA-LDA-face-recognition
- PCA LDA 人脸识别 特征脸 类间方差 人脸数据库-etween PCA LDA face recognition feature class variance face database
segmentation
- 本代码主要讲传统的图像分割算法与现代智能理论相结合来提高图像分割的效能，并将其运用到智能交通的道路分割中。代码为运用最大类间方差遗传算法进行道路分割。-The code is mainly about the traditional image segmentation algorithm combines with modern intelligence theory to improve the performance of image segmentation, and apply it
Untitled
- 使用最大类间方差来对图像进行分割，达到较好的结果。-Use Otsu image segmentation to achieve better results
tuxiangfenge
- 通过采用matlab软件来实现在最大类间方差算法下求解自适应阈值，对图像进行分割-Achieved through the use of matlab software for solving adaptive threshold in Otsu algorithm for image segmentation
segmention
- 针对图像的各种阈值分割算法。迭代，otsu，最大熵，类间最大距离法，最大类内类间方差比法等-Segmentation algorithm for various thresholds of the image. Iteration between otsu, maximum entropy, maximum class distance method, among the largest category within the class variance ratio method
OSTU
- matlab练习程序（最大类间方差二值化图像）这里用的方法是《特征提取与图像处理》3.3.4里的。- matlab exercise program (Otsu binary image)
otsu
- 最大类间方差法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。-The method of determining the threshold Otsu method is an adaptive, also known Otsu, referred OTSU. It is based on the gradation characteristics of the image, the image into the background
Otsu-Algorithm
- Otsu方法是一种全局化的动态二值化方法，又叫大津法，是一种灰度图像二值化的常用算法。该算法的基本思想是：设使用某一个阈值将灰度图像根据灰度大小，分成目标部分和背景部分两类，在这两类的类内方差最小和类间方差最大的时候，得到的阈值是最优的二值化阈值。-Otsu method is a globally-oriented dynamic binary method, also known Otsu is a gray image binarization commonly used algorith
otsu
- 利用最大类间方差法进行分割图像，代码简单易懂，且效果良好-Images are segmented using Otsu method, the code is simple to understand, and the effect is good
otsu1
- 对最大类间方差法进行改良，引入最小类内方差，进一步提高分割效果-For improved Otsu method, introducing the minimum interclass variance, further improve the segmentation effect