阈值处理(Thresholding)是图像处理与计算机视觉领域中的基础技术之一,广泛应用于目标检测、图像分割及模式识别等场景。通过设定合适的阈值,可以有效区分图像中的前景与背景信息,为后续高级分析提供清晰的数据支持。掌握这一技能对于从事机器视觉、自动化检测以及智能安防领域的工程师来说至关重要。本页面汇集了9份精选资源,涵盖理论讲解到实践案例,助您深入理解并灵活运用阈值处理技术。
极大值抑制与双阈值门限得到图像边缘:
* nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of points generated by a feature/corner detector. It ...
📅 2016-07-08
👤 guanliya
the fuction performs thresholding to the eye images. this function can be used in implementing daugman algo for iris localization....
📅 2017-03-23
👤 trepb001
otsu algo this is used to thresholding of an image....................................................................
📅 2013-12-24
👤 xiaoyunyun
This is program for finding BAYES thresholding...
📅 2013-12-17
👤 qazxsw
Non maxima suppression and thresholding for points generated by a feature
or corner detector....
📅 2013-12-06
👤 as275944189