To determine the optimal thresholds in image segmentation, a new multilevel thresholding method based on particle swarm optimization (PSO) is proposed in this paper.
为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法。
Experimental results on a series of images including nondestructive testing ones show that authors' method outperforms several existing classic thresholding methods in segmentation quality.
在工业无损检测等一系列图像上的实验结果表明，与现有的几种经典阈值分割方法相比，本文方法的分割效果更好。
Then the image is iteration thresholding segmented and binaried.
并对图像进行迭代阈值分割及二值化。
As for image multilevel thresholding, this paper proposed a novel algorithm.
针对多阈值分割问题，提出了一种新的多阈值分割算法。
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。
Filtering and thresholding of performance informations are described for reporting to the TMN.
为向TMN报告，描述了性能信息的过滤和门限确定。
This paper proposes a new image thresholding segmentation method based on universal information law.
提出基于万有信息定律的图像阈值分割方法。
Automatic image thresholding based on the two-dimensional Maximum Correlation Criterion (MCC) is proposed.
提出了基于二维直方图的最大相关准则自动阈值图像分割算法。
Finally, a global thresholding can be applied to the enhanced image to obtain the object from the background.
在增强图像上应用全局阈值化从背景中获得目标。
The improved method proposed in this paper is soft-hard thresholding denoising according to mean approximation.
提出的改进方法是利用均值逼近的软硬阈值折中法。
Finally, adaptive local thresholding associated with the universal thresholding is used to extract spectral lines.
最后，联合采用整体阈值处理和自适应的局部阈值处理提取谱线。
In this paper, a novel thresholding method based on human visual perception and isoperimetric theory is presented.
提出一种融合视觉感知和等周理论的图像阈值分割方法。
A new fuzzy thresholding method of image segmentation is presented which is based on the two-dimensional histogram.
把二维直方图方法应用于模糊门限分割中，提出了一种基于二维直方图的模糊门限分割方法。
Automatic image thresholding segmentation based on two-dimensional Maximum Correlation Criterion (MCC) was proposed.
提出了基于二维最大相关准则的自动阈值图像分割算法。
The continuity and differentiability are achieved by using cubic polynomial interpolation based on hard thresholding.
用三次多项式在硬阈值的基础上插值，使新的阈值函数保持了连续性和可导性。
In this paper, some different operators of edge detection together with some thresholding calculations were compared.
比较若干不同的边缘检测算子及二值化算法，讨论了其在车辆牌照识别中的应用。
Experimental results show that the thresholding method based on relative entropy coefficient in this paper is feasible.
实验结果表明，本文提出的关联熵系数阈值分割方法是可行的。
Also, it USES optimal thresholding arithmetic to segment image and use sequential arithmetic to mark connected component.
利用最优化阈值分割算法进行图像分割，同时采用序贯算法对连通域进行标记。
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。
This paper presents four improved thresholding functions. They are theoretically proved to be effective to denoise impulsive noise.
本文提出了四种改进的阈值函数，并且在理论上证明了这四种改进的阈值函数对脉冲噪声都是有效的。
It is pointed out that a thresholding operation before Wiener filtering can effectively improve the performance of Wiener filtering.
指出在进行维纳滤波之前，阈值化处理可以有效提高维纳滤波的性能。
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。
The thresholding intensity of yellow light is influenced by purple light and increases with the increase in the intensity of purple light.
黄光阈值光强受到紫光光强的调制，随着紫光光强的增大而增大。
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。
Lastly two-dimensional entropic thresholding was applied to segmentation image, thus microcalcifications were detected and were marked in mammograms.
最后利用二维最大熵阈值分割对图像二值化，从而检测出微钙化点并在图像上标识出来。
Lastly two-dimensional entropic thresholding was applied to segmentation image, thus microcalcifications were detected and were marked in mammograms.
最后利用二维最大熵阈值分割对图像二值化，从而检测出微钙化点并在图像上标识出来。
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