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This source are example for template matching in image to detect image file in source image. It s use OpenCV in Visual Studio 2013
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基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现-SIFT feature extraction and matching algorithm based on OPENCV. Contains the full the image of Gauss Pyramid, DOG, space extreme point extraction, key points descr iption, K
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基于opencv的模板匹配算法,可以从一副大图中搜索出与模板相似度最高的部分(Template matching algorithm based on OpenCV, you can search from a large image of the highest similarity with the template part)
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《Visual C++数字图像处理技术详解》的源代码,《Visual C++数字图像处理技术详解》以数字图像处理技术为主线,全面地介绍在Visual C++环境下进行数字图像处理程序设计的方法。内容涵盖了数字图像的变换、增强、复原、重建、形态学处理、分割、匹配、压缩编码、特效处理等,各种方法均给出基本原理、典型算法、Visual C++源码及综合应用案例。同时,《Visual C++数字图像处理技术详解》还介绍了Visual C++与VTK、OpenCV和MATLAB等开发平台相结合进行数字图像
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该算法基于opencv库,能够实现图像ORB角点检测,并实现图像匹配(ORB image key point detection algorithm, fast and efficient implementation of image feature point detection and matching)
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基于opencv实现三度重叠影像上点的匹配,输入三张图片,输出三度重叠点,基于图片显示(Based on OpenCV, we achieve the matching of points on three degree overlapped images, input three pictures, and output three degree overlap points, based on image display.)
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opencv学习笔记,基于vs2013和opencv3.2的单图像模板匹配(Single image template matching)
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基于树莓派B+版本的车牌识别设计,辨识部分以树莓派3B+/3B为核心处理器,基于Linux平台,通过python3.5和OpenCV来对含有车牌信息的图片,进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry
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