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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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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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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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可以检测图像中圆和直线的信息,有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection
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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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程序主要是图像分割方面的算法实现,包括基于阈值的方法,基于边缘的方法和基于区域的方法等-Image segmentation process is mainly aspects of algorithms, including the threshold-based method, the edge-based methods and methods based on region
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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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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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数字图像处理在人们的生活中无处不存在着它的影子,是非常流行热门的技术之一,可以说它是一种每时每刻都在改变着人类生活的技术。人们对于物体的识别主要针对于物体的外形,图像分割目的是对图像中有意义的特征部分进行提取,所谓有意义的特征包括图像中物体的外形边缘和区域等。本文主要针对其中的一个传统而经典的分割方法Hough变换而展开。Hough变换实现的是一种从图像空间到参数空间的映射关系,具有对抗噪声的鲁棒性以及在图像中的不连续性等优点,通过它构建的参数空间可以容易地对特定形状,如直线、圆等解析曲线进行判
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边缘检测法和阈值分割法,是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验,在详细分析检测原理的基础上,编写了相应的实验并给出了实验结果。-Edge detection and thresholding method, image segmentation is an important technology in two ways. This arti
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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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水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型,是下面一篇带距离正则化的水平集方程论文的应用:
C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
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基于边缘的分割方法,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。-Segmentation method based on edge, the image segmentation is to divide the image into a number of specific area, unique quality and interested in technology and process of target
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Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing tim
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