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图象轮廓提取 比较简单 是本人在MATLAB环境下编译的-image contour extraction is relatively simple I MATLAB environment in the compiler
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摘要：在对粮虫图像处理过程中，介绍了Matlab图像处理工具箱中的函数，给出了图像处理与分析的技术实现, 边缘检测及轮廓提取, 通过形态学方法进行图像特征抽取与分析，达到了比较好的效果.-Abstract : In the right grain pest image processing, introduced the Matlab toolbox image processing functions, given image processing and analysis technolog
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用MATLAB编写的主动轮廓提取算法，该算法能对图像中的目标轮廓进行高效检测-Written by MATLAB active contour extraction algorithm that can image the efficient detection of object contour
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轮廓特征提取,提取图像的边缘，特征码vc++c写的，里面还有论文，是一次作业。-Contour feature extraction,extract the image edges,signature
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使用matlab语言编写的由彩色图像到轮廓提取-Matlab language used by the color image to the contour extraction
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这是一个进行图像轮廓提取和背景提取的matlab仿真，可以运行，是我在做课题时用到的一个小程序-This is a background of the image contour extraction and extraction matlab simulation, you can run, is the topic I am doing a small program used
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用matlab软件实现图像轮廓的提取，程序简单好用。-Matlab software using the image contour extraction procedures are simple and easy to use.
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利用边界追踪法对图像进行轮廓提取，此函数文件得到的是边界点对应位置索引矩阵-Boundary tracking method using the image contour extraction, this function is to get the file location of the boundary points corresponding to the index matrix
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图像形状提取:加入了神经网络识别，即提取出每幅图像的7阶矩特征后，送入神经网络进行识别-Image shape extraction: joined the neural network recognition, namely the extraction of each image in the7order moment characteristics, into the neural network identification
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简要介绍了几个基于matlab的图像轮廓提取技术,如robert,sobel 等边缘检测算子,比较了这几个边缘检测算子的处理结果-Briefly introduced several matlab-based image contour extraction technology, robert, sobel edge detection operator, and compare several edge detection operators processing results
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轮廓线的提取，处理图像中的对轮廓线的提取问题，matlab源码-Contour extraction processing of the image of the contour extraction problem, matlab source
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采用MATLAB进行图像的轮廓提取，此为最简单的提取程序。-Using MATLAB contour extraction of the image, this is the most simple extraction procedure.
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图像处理经典滤波算法实现，包括中值滤波、卷积、Sobel、Canny、Pyramid、Hough变换、轮廓提取、直方图均衡化、小波变换等等,可以试验算法效果，用着不错，拿来分享下。-Image processing classical filtering algorithms, including median filtering, convolution, Sobel, Canny, Pyramid, Hough transform, contour extraction, histogram
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图像的形状特征一般是在物体从图像中分割出来以后进行分析，形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法，一类是边界特征，另一类是区域特征。图像的轮廓特征主要针对物体的外边界，而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape fea
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