This paper presents a new method for image segmentation via adaptive thresholding.
本文介绍一种新的自适应门限图象分割方法。
A new opto-electronical network with the function of adaptive thresholding is proposed.
提出了用光电混合网络来完成自适应取阈功能的硬件实现方法。
The hybrid algorithm integrates adaptive thresholding and connected-components analysis into one pass of image processing.
该算法将自适应取阈方法和连通分量分析方法集成于一次图像扫描处理中实现。
And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.
并在此基础上确定了自适应阈值计算方法，建立了新的阈值去噪法，可用于去除相干噪声。
This method avoids the small dynamic range in global thresholding and misjudgement caused by fixed divided regions in adaptive thresholding.
本方法避免了整体阈值法动态范围小和传统自适应阈值法固定分区所造成的误判。
By analyzing the traditional thresholding methods (such as Otsu and Kapur), a new approach using the adaptive thresholding method is presented.
针对金相图中分割问题，在分析对比传统的全局阈值分割方法的基础上，提出了一种自适应阈值分割方法。
By analyzing the traditional thresholding methods (such as Otsu and Kapur), a new approach using the adaptive thresholding method is presented.
针对金相图中分割问题，在分析对比传统的全局阈值分割方法的基础上，提出了一种自适应阈值分割方法。
应用推荐