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基于形态学的彩色边缘检测,首先在RGB空间对原彩色图像的R,G,B三副伪彩色图像分别进行形态学边缘检测,然后对三副图像的边缘强度进行合并,采用阈值分割法提出图像的轮廓边缘。-Based on morphological edge detection of color, first of all in RGB space to the original color image of the R, G, B three pseudo-color image, respectively, morpho
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多种基于内容的视频检索镜头分割算法matlab程序,主要是检测突变,有基于直方图的方法,基于X2直方图的方法,基于像素的方法以及基于边缘轮廓法对比!对于这一领域的研究具有很好的入门作用!也是本人毕业论文所写的!视频文件建议先分离掉声音,仅保留图像系列,文件须为mpg!-A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, t
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基于小波变换的分开—合并图像分割matlab
.采用多尺度小波变换系数作为四分树结构的分开一合并法图像分割的一致性度量 从而在大的图像块中。去除噪声的影响,在小的图像块中,以小波变换的局部极大值精确定位边缘,根据边缘信息进行分开一合并法图像分割 .实验表明.算法得到满意的结果 .
-Separately based on wavelet transform- the combined image segmentation matlab. The use of multi-scale wa
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基于一种新的二值化优化方法 与 实现:综合全局二值化与边缘检测的图像分割方法-Based on a new binarization method and the realization of optimization: an integrated global binarization and edge detection for image segmentation method
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图像分割,具体算法参考一下论文
Zhi-Gang Tan, Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region ho
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运用基于图像边沿信息和图象融合等进行图象分割.-This image segmentation method uses image diffusion based on an edge vector field based on color and/or texture.
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图象分割是图象处理中的一项重要工作,目前手工与自动相结合的分割方法在实际工作中得到了广泛应用。本文根据图象经Maar变换后的特征,采用新的判断准则,提出了一种复杂物体边缘定位算法,可以对具有尖角特征的物体轮廓进行快速准确地提取,同时利用矢量化方法消除毛刺,使跟踪获得的边界更符合物体的实际轮廓特征。对多种图象的实验表明本文方法十分有效。-Image segmentation is an important image processing, the current combination of m
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基于边缘信息的图像阈值化分割方法,基于边缘信息的图像阈值化分割方法-Image based on edge information thresholding segmentation method, based on edge information of image thresholding segmentation
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本文主要介绍了图像分割的两大类方法基于边缘的分割方法和基于区域的分割方法及其各自存在的问题和最新进展同时简单介绍了物理的分割方法和图像分割评价最后指出了图像分割技术的发展趋势-In this paper, two types of image segmentation method segmentation method based on the edge of the region-based segmentation method and their respective problems
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图像分割是图像分析和模式识别的首要问题,也是图像处理的经典难题之一。文中对图像分割方法进行了系统
研究论述,先对图像分割的定义、要求进行简单介绍,然后对阙值化、基于边缘方法、基于区域的方法、基于模型的方法和
基于人工智能的方法等主要的图像分割方法进行研究论述,比较了它们的优缺点。-Image segmentation image analysis and pattern recognition is the primary issue, but also the classic prob
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图像分割算法研究,本课题主要介绍了图像分割的基本知识,研究了图像分割的两大类算法,即基于边缘检测的方法和基于区域生成的方法。-Image segmentation, the subject introduces the basics of image segmentation to study the two types of image segmentation algorithm, which is based on edge detection method and the method
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为了减少alpha-expansion算法的计算量,本文在标号为alpha的像素向其它像素膨胀的过程中,先隔离非alpha类间的联系,而只考虑alpha类与非alpha类之间的关系,从而避免alpha-expansion算法需要构造辅助结点的问题,减少了s/t图中边的数目,提高了算法的计算效率。因放松了非alpha类间的关系对alpha膨胀的约束,使得算法可以更容易得跳出能量函数的局部极小点而获得更优的分割结果。-In order to reduce alpha- expansion algor
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在图像处理中,有些图像既没有明显的边缘,也缺乏明显的纹理特征,传统的分割方法及GAC模型将难以成功实现图像分割。于是提出了C-V模型,其基本思想与传统的基于区域的图像分割方法是一致的:都是根据能量最小原则。
-Image processing, some of the images is neither obvious edge, but also the lack of obvious texture features, the traditional method of segmenta
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Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
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本程序是运用脉冲耦合神经网络(PCNN)算法进行图像分割的一个实例。基于PCNN的图像分割是一种图像像素相似度临近相似性的图像分割方法,已被广泛应用于图像平滑,分割及边缘检测等图像处理领域。-This program is an instance of the algorithm for image segmentation using pulse coupled neural network (PCNN). PCNN-based segmentation of an image pixel s
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GAC模型是基于边缘的图像分割方法,当图像中的对象和背景的边界处灰度值存在较大差异,那么对象的边缘就将形成明显的轮廓。-GAC model is based on the edge of the image segmentation method, when the boundary of the object and background in the image gray value differences greatly, so the edge of the object will fo
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介绍了医学图像基于区域的图像分割和基于边缘的分割方法,以及三维重建的算法-This paper introduces the image segmentation of medical image based on region and the segmentation method based on edge, and the algorithm of 3 d reconstruction
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利用直方图双峰法阈值分割法、基于最大信息熵算法、基于区域的图像分割方法和基于边缘检测方法对图像进行分割程序代码-Bimodal histogram thresholding method based on maximum entropy algorithm, based on the area of image segmentation and edge detection method based on image segmentation program code
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基于蚁群聚类的图像分割方法。把聚类中心看做食物源,蚂蚁根据分泌的信息素寻找图像边缘点。-Image segmentation method based on ant colony clustering. The cluster centers seen as a food source, ants secrete pheromones to find based on the image edge points.
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出了基于
ELM的医学图像的分割技术,结合滤波去噪、形态学提取和边缘检测等图像处理方法,设计了一种应用于CT图像
的轮廓描绘方法。-Based on a medical image segmentation ELM technology, combined with filtering de-noising, Morphology and edge detection image processing method is applied to design a CT image cont
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