搜索资源列表
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基于opencv来简单实现图像处理中的特征点提取和匹配-Opencv to simple implementation based on image processing feature extraction and matching
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十分强大的图像处理程序，其中包含了图像增强，图像复原，图像变换，图像编码，图像配准，活动检测，特征提取，图像分割图像识别等常用的图像处理算法-A very powerful image processing program, which includes image enhancement, image restoration, image conversion, image coding, image registration, activity detection, feature extr
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图像预处理包括图像平滑、图像分割、二值化、图像形态学处理和轮廓提取。轮廓提取是使用八邻域边界跟踪算法。在手势的特征提取部分，使用边界傅立叶描绘子的手势特征提取算法。针对手势的识别，采用了基于 BP 神经网络的识别方法-Image pre-processing, including image smoothing, image segmentation, binarization, morphological image processing and contour extraction.
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道路场景识别，通过对样本图像处理和特征提取，再通过bp神经网络进行学习，最后通过学习后得到的权值进行样本识别。-Road scene recognition, through the sample image processing and feature extraction, and then through bp neural network learning, and finally by learning the weights obtained after the sample ide
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基于SURF算法的特征提取代码，里面包含一些图像处理算法，opencv2.3.1和vs210-Feature extraction based on SURF algorithm code, containing some image processing algorithms, opencv2.3.1 and vs210
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图像处理的点运算、频域处理、形态学处理、图像变换、图像分割、特征提取等源程序-Point arithmetic image processing, frequency domain processing, morphological processing, image conversion, image segmentation, feature extraction and other source files
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OpenCV 图像处理与特征分析示例： FORB 特征提取、计算处理与分析应用. OPENCV 爱好的必备， C++ 代码实现。
-OpenCV image processing and feature analysis example: FORB feature extraction, processing and analysis to calculate the necessary application OPENCV hobby, C++ code.
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图像特征提取是计算机视觉和图像处理中的一个概念。它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。包括：Harris角点、ShiTomasi角点、亚像素级角点、SURF角点、Star关键点、FAST关键点、Lepetit关键点等等(Image feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract imag
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