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2008年IEEE TRANSACTION关于活动轮廓的经典文献。活动轮廓在图像分割和计算机视觉中有广泛应用，本文提出局部化基于区域的活动轮廓。效果很好。-2008 IEEE TRANSACTION active contour about classic literature. Active contour in image segmentation and computer vision has extensive application of this paper, local regio
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运动检测的目的是从序列图像中将变化区域提取出来。运动区域的有效分割对于目标分 类、跟踪和行为理解等后期处理非常重要，因为后期处理过程仅仅考虑图像中对应于运动区 域的像素。然而，由于背景图像的动态变化，如天气、光照、影子及混乱干扰等的影响，使 得运动检测成为一项相当困难的工作。-The purpose of motion detection from image sequence changes in the region will be extracted. Sports region segm
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区域增长法对图像进行分割处理，并去噪处理，图像增强-Region-growing segmentation of the image processing and de-noising processing, image enhancement
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In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
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一种基于肤色分割、区域分析和模板分布的彩色图像人脸检测算法.首先对输入的彩色图像利用混合高斯模型和亮度模型进行分割,然后根据人脸五官的结构特征对得到的区域进一步分析处理,获得所有可能的候选人脸.接着构造了一种基于双眼和人脸模板的概率模型并利用其对候选人脸进行最终检测.-Based on skin color segmentation, regional analysis and the template in color images of face detection algorithm. F
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文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then
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本文的内容是基于红外图像的特征提取，在基于个数判断噪声的中值滤波器进行平滑处理的基础上,提出了一种改进的过渡区
提取方法,并将该方法应用于对比度低、宽谷直方图的复杂背景红外图像的分割。Matlab仿真
实验表明,该方法减少了图像分割的运算量,并能将具有复杂背景的红外图像目标分割得较
好。-This content is based on the infrared image feature extraction, the number of judgments based on th
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Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feat
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Automatic Image Segmentation by Dynamic
Region Merging
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Image Segmentation.
A central problem, called segmentation, is to distinguish objects from background [10]. For intensity images (ie, those represented by point-wise intensity levels) four popular approaches are: threshold techniques, edge-based
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we automatically determine an appropriate initialization and the number of regions bymeans of recursive two-phase
splits with higher order region models.
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This program will detect the license plate region with segmentation and extraction and recognition
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模糊分析的方法是用均一表面不确定性对原始图像进行模糊纹理滤波, 在滤波图像上计算空间均一不确定性,对不确定性进行模糊纹理光谱分析, 其光谱曲线直观地反映了多光谱遥感图像的纹理特征 通过采用不同的测量窗口,在不同的类别提取纹理样品进行实验。研究结果表明:多光谱遥感图像在小区域纹理特征不稳定,不同波段的纹理特征不同,不同类别的最小测量区域不同 模糊纹理分析的方法可用于图像分割。-Fuzzy analysis is to use a uniform surface uncertainty on the
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Basic Idea of Image Segmentation
„ All the image segmentation methods assume that:
1. the intensity values are different in different regions, and,
2. within each region, which represents the corresponding object in a
scene, the intens
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图像分割是一种重要的图像分析技术，对图像分割的研究一直是图像技术研究中的热点和焦点。分水岭算法是基于数学形态学理论的图像分割算法，但是对噪声敏感且存在过分割的现象。为提高图像分割效果，本文通过对影像进行滤波处理，用改进的快速区域合并算法优化分水岭算法进行影像分割。-In this work a technique for cloud detection and classification from MSG–SEVIRI (Meteosat Second Generation–Spinning
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In the proposed algorithm, these two issues are solved by a novel predicate, which is defined by the sequential probability ratio test (SPRT) and the minimal cost criterion. Starting from an over-segmented image, neighboring regions are progressivel
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Mammography is one of the available techniques for the early detection of masses or abnormalities which
is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect
the other parts of the body. Th
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In this project ,segmentation method that uses the k means technique to track tumor objects in magnetic resonance (MR) brain images. The method can segment MR brain images to help radiologists distinguish exactly lesion size and region.
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Transition region based single and multiple object segmentation of gray scale images
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基于区域划分的多特征纹理图像分割，能获得较好的效果-Multi- feature Texture Image Segmentation Based on Region Partition
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