• 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。

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  • 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。

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  • 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。

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  • A new fuzzy membership function is defined in the light of requirements of image thresholding which can overcome the influence on segmentation caused by the classical s function.

    算法针对图像阈值化分割的要求构造了一种新的模糊隶属度函数,克服了传统s -函数带宽对分割效果的影响。

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  • Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.

    基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。

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  • Starting from the definition for a set of ordered elements, the area histogram has been extended to analysis gray -level image through the notions of image thresholding decomposition and level sets.

    从为有序元素集定义面积直方图出发,通过图像的阀值分解及层集等概念,面积直方图被扩展到了灰度图像。

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  • 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。

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  • Thresholding methods are usual and efficient in image segmentation.

    阈值分割是图像分割中的一种常用的有效方法。

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  • 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。

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  • A binarization method for digital camerabased document image was proposed. The method is a combination of the global thresholding, local thresholding and the gray gradient method.

    提出了一种数码相机拍摄的文本图像的二值化方法,该方法是全局阈值、局部阈值与灰度梯度方法的结合。

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  • Besides, the entropic thresholding method is applied to improve the quality of image.

    论文中还引入最大熵进行阈值处理,图像质量得到改进。

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  • Based on maximum relativity criterion, a new thresholding algorithm for image segmentation is proposed which is more simple than the thresholding algorithm based on maximum entropy.

    提出了一种基于最大相关准则的图像阈值分割法。该算法比基于最大熵原理的图像分割法更简便。

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  • It solves the difficulty in binarization due to gray level confusion between local background and image by automatic thresholding with local image enhancement.

    通过局部图像增强的自动阈值选择等手段,解决视网膜血管图像与局部背景之间因灰度混同所造成的二值化困难;

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  • By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.

    该方法通过定义图像的平滑性测度,采用模糊增强技术对图像的灰度直方图进行增强,然后在增强的直方图上,利用自适应多阈值分割方法进行图像分割。

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  • Then a single channel incoherent optical correlator with only an image and a structural element is developed to execute the hit miss transform in parallel by one step thresholding.

    设计了只有一个图像和一个灰度结构核的单通道非相干光学相关器来并行一步取阈完成击中与否运算。

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  • 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。

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  • Based on the representation of three typical thresholding methods for image segmentation and the analysis of their performances, the scope of each method was mentioned.

    本文在介绍了三种具有代表性的图像阈值分割法的基础上,通过对它们的性能进行分析比较,给出了这三种阈值分割法的适用范围。

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  • 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。

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  • It is shown that the improved DBC approach can convert pavement image to one whose fractal dimension permits simple thresholding for segmentation of pavement cracks.

    结果显示差分计盒方法可以将路面图像转换成另一种图像,该图像的分形维数可以把简单的阈值应用到路面裂缝的分割。

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  • The method eliminates impulse noises by median filtering then extracts edges by Otsu's thresholding based on local entropy of image, connects discrete edges and detects objects regions.

    该方法首先进行中值滤波消除图像脉冲噪声,然后计算图像局部熵进行阈值选择提取目标边缘,最后进行边缘连接分割出目标区域。

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  • Therefore, when applying a thresholding algorithm to an image, we generally assume that the background and target in that image occupy different gray level zone.

    传统的阈值化算法仅仅使用像素点的灰度级信息,因而要求图像中的目标和背景在灰度级上是可分的。

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  • The calibration system utilizes the combination of advantages of optimal thresholding and contour tracking to analyze the image of air bubble and recognize its features.

    本系统采用最优阈值变换提取目标物体轮廓,完成了一个能够实现对气泡的偏移进行检测和对图像的状态进行模式识别的图像处理和识别系统。

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  • Thresholding is one of the widely used and efficient techniques for image segmentation in digital image processing.

    阈值分割是广泛使用的最为有效的图像分割方法之一。

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  • On the other hand, the characteristics of ship target in high-resolution SAR image are analyzed. The KSW double thresholding method is proposed to ship detection in the high-resolution SAR image.

    另一方面,分析高分辨率SAR图像舰船目标特点,提出了利用KSW双阈值分割进行检测的算法。

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  • Firstly the new algorithm processes the image by extracting edge and thresholding, then calculates the correlation of the binary images using the defined ESD distance.

    该算法首先对图像进行边界提取并二值化,然后利用所定义的基于边缘的相似距离(esd)对处理后的二值图像进行相似性匹配运算。

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  • Firstly the new algorithm processes the image by extracting edge and thresholding, then calculates the correlation of the binary images using the defined ESD distance.

    该算法首先对图像进行边界提取并二值化,然后利用所定义的基于边缘的相似距离(esd)对处理后的二值图像进行相似性匹配运算。

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