搜索资源列表
houghlinedetection
- ostu+sobel+hough变换实现车道线的检测-ostu+sobel+hough transform to detect lane lines
image-processing
- matlab中一些对图片进行处理的小程序,包括ostu阈值分割,rgb2lab空间的转换,sobel边缘检测,自适应阈值分割-Some small programs,including ostu、rgb2lab、sobel、Adaptive thresholding(matlab)
ldpic
- x波段雷达影像岸线细化及提取,总共有灰度化,ostu二值化,细化,骨架提取4个步骤。-x-band radar images shoreline refining and extraction, a total of graying, ostu binarization, thinning, skeleton extraction four steps.
try1
- 二值图像的轮廓检测,借用ostu自适应阈值分割,效果良好-Contour detection binary image, to borrow otsu adaptive threshold segmentation, good effect
Ostunew
- ostu分割法实现代码,找出最大类间方差与最小类内方差比值最大的阈值,进而实现对图像的分割-Implementation code otsu segmentation method to find within Otsu class variance ratio of the maximum and minimum thresholds, so as to realize image segmentation
ostu阈值分割法
- 这是一个利用大津阈值法进行自适应分割的程序,效果很不错,你值得拥有,采用matlab编写
wenxian
- 针对自然生长状态下的成熟苹果图像的识别问题,提出选用R-G色差模型,改进的Ostu最大类间方差法分割图像。 然后用面积阈值法消除噪声,获取成熟苹果果实的目标区域。然后采用基于OpenCV的圆形Hough变换方法对多个粘连苹果果实进行分离。-For image recognition problem ripe apples natural growth state, the proposed selection of R-G color model between improved Ostu Ot
otsu
- OSTU大律法是在1979年在日本由一学者提出的一种对数字图像进行二值化的一种高效算法-ostu binary image
ostuPquyuzhengzhang
- 用于左心室分割的Ostu法和区域增长法选取特定的分割位置,有详细标注,可用于学习与应用,附有两张BMP格式的左心室图像和3张DICOM格式的左心室图像-Left ventricular image for the left ventricle segmentation Ostu method and region growing segmentation method to specific location, detailed labels, can be used for learning
11
- 图像分割,经典算法的重现,ostu算法为初学者研究和改进提供了基础-Image segmentation, the reappearance of classic algorithms, ostu algorithm provides the foundation for beginners research and improvement
ijabr201605104_Aryan
- Edge detection is widely used in image processing, image recognition and computer vision. Tradition edge detection methods have a lot of disadvantages. This paper presents a new edge detection algorithm base on Matching Pursuit (MP). Our method h
Combined-with-Canny
- 对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题-The disadvantage of the classical
otsu
- 图像分割中常见的基于阈值处理的ostu算法,是最常用的图像分割算法。-Image segmentation in the common thresholding based on the ostu algorithm is the most commonly used image segmentation algorithm.
otsu_
- otsu法(最大类间方差法,有时也称之为大津算法)使用的是聚类的思想,把图像的灰度数按灰度级分成2个部分,使得两个部分之间的灰度值差异最大,每个部分之间的灰度差异最小,通过方差的计算来寻找一个合适的灰度级别 来划分。-Image segmentation in the common thresholding based on the ostu algorithm is the most commonly used image segmentation algorithm.
OSTU
- 利用MATLAB编写的图像二值化函数,使用了大津阈值法对图像进行阈值分割-Using the binarized image function written in MATLAB, using the Otsu threshold method for image segmentation threshold
ostu图像分割阈值算法matlab源程序
- 实现视频前景目标提取,监控视频的提取,图像分割(Implementation of video foreground target extraction)
图片
- OTSU算法也称最大类间差法,有时也称之为大津算法,被认为是图像分割中阈值选取的最佳算法,计算简单,不受图像亮度和对比度的影响,因此在数字图像处理上得到了广泛的应用。它是按图像的灰度特性,将图像分成背景和前景两部分.(Difference method OTSU algorithm called maximum class, sometimes called the Otsu algorithm, is considered to be the best algorithm, threshold
BuoLuoTest
- 采用ostu算法,再经形态学分析去除小面积提取菠萝果实图像。(Using ostu algorithm, and then by morphological analysis to remove small area extraction pineapple fruit image.)
ostu
- 大津法(OTSU)是一种确定图像二值化分割阈值的算法,由日本学者大津于1979年提出。从大津法的原理上来讲,该方法又称作最大类间方差法,因为按照大津法求得的阈值进行图像二值化分割后,前景与背景图像的类间方差最大(何为类间方差?原理中有介绍)。(Otsu method (OTSU) is a set of image binarization threshold segmentation algorithm, proposed by Japanese scholars ohtsu in 1979.
pr
- 用遗传算法和ostu法对灰度图像阈值分割(Threshold segmentation for gray image)