原文标题:Hands on Otsu Thresholding Algorithm for Image Background Segmentation, using Python,作者:Piero Paialunga
A multi- scale 3D Otsu thresholding algorithm for medical image segmentation[J].Digital Signal Processing,2017,60 (3):186-199.Yuncong Feng, Haiying Zhao, Xiongfei Li, Xiaoli Zhang and Hongpeng Li, A multi-scale 3D Otsu Thresholding Algorithm for Medical Image Segmentation, Digital Signal ...
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In this post, we will examine Otsu’s method for automatic image thresholding. What is Image Thresholding? Image thresholding is used to binarize the image based on pixel intensities. The input to such thresholding algorithm is usually a grayscale image and a threshold. The output is a ...
Otsu thresholding algorithm for medical image segmentationXiaoli Zhanga , b , Haiying Zhao c , Xiongfei Li a , b ,∗ , Yuncong Feng a , b , Hongpeng Li da Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, Chinab ...
SHEN Xuanjing, LONG Jianwu, CHEN Haipeng,. Otsu thresholding algorithm based on rebuilding and dimension reduction of the 3-dimensional histogram[J]., 2011, 39(5): 1108-1114. [2] 汪海洋, 潘德炉, 夏德深. 二维Otsu自适应阈值选取算法的快速实现[J]. 自动化学报, 2007, 33(9): 968-971. do...
主函数otsu_thresholdingcalcHist循环计算阈值更新最大类间方差输出阈值 以下是函数的调用结构摘要: 性能优化 为了提高Otsu算法在大型图像处理中的效率,我们可以在算法中引入并行处理或其他优化技术。以下是性能对比的示例: 实现并行的思路可以使用Python的multiprocessing或concurrent.futures模块: ...
OtsuThresholding Otsu Thresholding Converting a greyscale image to monochrome is a common image processing task. Otsu's method, named after its inventor Nobuyuki Otsu, is one of many binarization algorithms. This page describes how the algorithm works and provides a Java implementation, which can be...
[5 ] ARORA S , ACHARYA J , PRASANTA V A , et al. Multi-level 图 彩色图像 图 颜色多阈值分割结果 2 thresholding for image segmentation through a fast statistical recur- 表 本文方法与其他方法的测试结果 sive algorithm [J ]. Pattern Recognition Letters , 2008 ,29 ( 2) : 119 - 图片 ...
Prewitt edge detector: gradient filter és nonmaxima-suppression (NMS), Thresholding algorithm by Otsu, Detection of circular object by edge detection and Hough transform for circles, Motion tracking of feature points and dense optical flow