复制 defcompute_otsu_criteria(im,th):thresholded_im=threshold_image(im,th)nb_pixels=im.sizenb_pixels1=np.count_nonzero(thresholded_im)weight1=nb_pixels1/nb_pixelsweight0=1-weight1ifweight1==0orweight0==0:returnnp.infval_pixels1=im[thresholded_im==1]val_pixels0=im[thresholded_im==0]v...
Finally, the 3D fracture model of the coal is reconstructed from the CT image via the MP-Otsu thresholding algorithm. Focusing on the shape of the model, the permeability is then calculated on the basis of the pipe flow model and the parallel plate model. The contribution of fractures with ...
[3] TANEJA A,RANJAN P,UJJLAYAN A.A performance study of image segmentation techniques[C].Reliability,Infocom Technologies and Optimization(ICRITO)(Trends and Future Directions),2015 4th International Conference on.IEEE,2015:1-6. [4] OTSU N.A threshold selection method from gray-level histograms...
大津算法(Otsu's algorithm)是一种自动化确定图像二值化阈值的方法,通过最大化类间方差来确定最佳的阈值。该算法由日本学者大津展之于1979年提出。大津算法常被应用在图像处理领域,用于将一张灰度图像转化为二值图像。 大津算法的核心思想是寻找一个合适的阈值,使得图像的前景与背景之间的类间方差最大化。通过最大...
{ double dValue; int k; }; void OtsuThresholdSegmentation(Mat image, Mat& imgBinary) { float range_[] = { 0, 256 }; const float* range[] = { range_ }; Mat roi_hist; int histSize[] = { 256 }; int channels[] = { 0 }; calcHist(&image, 1, channels, Mat(), roi_hist,...
threshold() 举个例子理解下thresholdType,拿第一种方法为例。像素值如果大于阈值,则把像素值变成255,否则,变成0.这样以来,就把原图变成黑白两色,对比度明显。 自适应阈值分割 adaptiveThreshold()支持两种自适应方法,cv::ADAPTIVE_THRE... 图像分割:阈值法-双峰法 ...
44. cvThreshold(src,dst,threshold,255,CV_THRESH_BINARY); 45. } 更多情况下我们并不需要对每一帧都是用otsu寻找阈值,于是可以先找到阈值,然后用找到的阈值处理后面的图像。下面这个函数重载了上面的,返回值就是阈值。只做了一点改变 [cpp] view plain ...
<<person>>用户使用Otsu算法进行图像处理<<system>>Otsu Algorithm对输入的图像进行阈值处理<<container>>图像数据[原始图像数据输入]<<container>>直方图[用于计算类间方差的统计数据]<<container>>输出图像[经过处理后的二值图像]输入处理计算直方图输出Otsu Algorithm C4架构图 ...
to seek for the threshold in the interval. The improvement in this paper can maintain good segmentation result and save lots of time. The experiments show that the algorithm is effective. Key words: image segmentation; histogram interval; local threshold; Otsu method; multi-threshold 1 P = 1...
3) Otsu's threshold segmentation Otsu′s阈值分割法 1. Moving objects are extracted by using gradient background difference method and Otsu′s threshold segmentation and and then using objective parameters to establish the link of targets. 该方法采用改进的混合高斯模型为动态背景更新方法,并结合梯度...