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用脉冲耦合神经网络实现灰度图像的分割,基于matlab 6.5版本以上的开发环境-Using pulse coupled neural network segmentation of gray image
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this is slides about image segmentation and image processing using various references, wide techniques are discussed.
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image segmentation and image processing powerpoint slides.contains text more than pictures. various techniques are discussed.
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image segmentation and image processing slides.over 80 slide wide explanation and has comprehensive pictures.
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数字图像处理技术程实例，用VISUAL C++数字图像处理技术实现一些案例，其中包括运动物体检测，和图像分割等-Process instances of digital image processing technology, using VISUAL C++ digital image processing technology to achieve a number of cases, including the moving object detection, and image segm
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用VC++实现的一些数字图像处理的案例，包括运动物体检测和图像分割-VC++ using digital image processing to achieve some of the cases, including the moving object detection and image segmentation
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1、使用MatLab 软件进行图像的分割；
2、能够自行评价各主要算子在无噪声条件下和噪声条件下的分割性能；
3、能够掌握分割条件(阈值等)的选择；
4、完成规定图像的处理并要求正确评价处理结果，能够从理论上作出合理的解释。
-1, the use of MatLab software for image segmentation 2, to self-evaluation of all the major operators in the absence of noise c
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图像去噪，图像分割，中值滤波的综合程序，内涵中文注解，简单易懂，适合初学者-Denoising, image segmentation, median filtering comprehensive program, meaning the Chinese comments, easy to understand for beginners
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数字图像处理及实例应用，包括图像的边缘检测，阈值分割算法，文字与非文字区域的划分-And examples of digital image processing applications, including edge detection, threshold segmentation algorithm, text classification with non-text area
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matlab图像处理代码（包括：图像增强、图像分割、缺陷提取）-matlab image processing code (including: image enhancement, image segmentation, defect extraction)
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基于活动轮廓模型的图像分割算法研究，是其中一些子程序，适合初学者研究-Active contour model based image segmentation algorithm, are some of the subroutine, suitable for beginners of
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代码是何东健《数字图像处理》的随书代码，提供了图像增强与平滑、图像分割与边缘检测、图像的几何变换、频域处理、数学形态学及其应用、图像特征与理解、图像编码 、图像复原的源代码.-Code is Dong-Jian " Digital Image Processing" with the book code, and provides image enhancement and smoothing, image segmentation and edge detection, i
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自己编写的图像处理基本程序，包含图像增强，图像的几何变换，图像分割的一些经典算法-I have written basic procedures of image processing, including image enhancement, image geometric transformation, image segmentation some of the classical algorithm
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K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
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本文按照水平集算法在图像分割中应用的发展历程将其分为3种情况进行了综述,以此为该领域读者提供借鉴。-according to the deveopment of the image segmentation
methods based on level set , this algorithm is introduced for readers of different backgrounds in this field to use.
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应用最大类间方差方法，对支票印鉴图像进行分割处理-Application of Otsu method, image segmentation seal check
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支票印鉴图的彩色图像分割，在处理过程中选取感兴趣的颜色（红色）进行分割-Check seal map image segmentation, are interested in the process, select the color (red) were divided
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阈值分割迭代法分割图像的一种算法，可以实现迭代分割图像。-Thresholding segmentation image iteration, an algorithm can achieve iterative image segmentation.
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纹理图像分割，主要针对有纹理的岩心岩屑颗粒进行分割-Texture segmentation, textured cores targeted to segment debris particles
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SegmentIt: Watershed Based Image Segmentation Tool. This interactive segmentation tool allows to switch back and forth between the watershed approaches (watershedSegmentIt: Watershed Based Image Segmentation Tool.
-SegmentIt: Watershed Based Image
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