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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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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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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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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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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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segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characterist
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coler design segmentation
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some
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Image segmentation by region growing method is
robust fast and very easy to implemented, but it suffers from:
the threshold problem, initialization, and sensitivity to noise.
Genetic algorithms are particular methods for optimizing
functions
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Image Segmentation is one of the significant elements in the part of image
processing. It becomes most essential demanding factor while typically dealing with
medical image segmentation. In this paper, proposal of our work comprises of formation
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Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative,
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图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出感兴趣目标的技术和过程。它是由图像处理到图像分析的关键步骤。现有的图像分割方法主要分以下几类：基于阈值的分割方法、基于区域的分割方法、基于边缘的分割方法-Image segmentation is the image into a number of specific, region with unique properties and proposed technologies and processes target of inte
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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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