搜索资源列表
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基于opencv的图像分割算法，改进了graph cut算法-image segmentation algorithm based on Opencv， improved from graph cut algorithm
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基于MeanShift的图像分割，分割出来的每个区域，采用漫水填充算法，使用不同的颜色表示出来。-Based image segmentation of MeanShift, each region segmentation, diffuse water filling algorithm, using a different color represented.
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OPENCV下基于高斯混合模型的图像分割，程序中还有
基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
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基于直方图的视频分割，用opencv实现的，运行前需要搭建好环境-Histogram based segmentation, implemented with opencv, running before the need to build a good environment
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图像分割的一个例子，OpenCV+VC实现，基于平均背景法-An example of image segmentation, OpenCV+ VC implementation method based on the average background ~ ~
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VC++结合opencv cvSegmentation函数实现对图像的分割-using cvSegMentation function in opencv library based on VC++, the source accomplished image segmentation.
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基于Opencv的otsu自动阈值分割算法-The otsu Opencv based threshold segmentation algorithm automatically
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基于OpenCV1.0，阈值方法的背景分割，单个文件，请自行编译-Based on OpenCV1.0, background thresholding segmentation
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基于HSI的交通标志和交通灯的分割，运用的是OPENCV的库函数-HSI based on the traffic signs and traffic lights segmentation, the use of the OPENCV library function
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OPENCV轻量级而且高效,由一系列 C 函数
和少量 C++ 类构成，同时提供了 Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。-The OPENCV lightweight and efficient, and by a series of C function
And a small amount of C++ class structure, while providing a language like Python, Ruby
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基于ＯｐｅｎＣＶ的车辆轮廓检测为了获得理想的车辆轮廓线，提出了一种基于开源计算机视觉库ＯｐｅｎＣＶ的轮廓检测新方法。首先对图像迸行形态 学去噪、平滑滤波处理和二值化阈值分割等预处理，获得二值化黑白图像。然后通过轮廓提取和跟踪检测到车辆外轮廓线。 在ＶＣ＋＋６．０环境下，利用Ｏｐｅｎｅｒ编程实现了此方法。-Proposed a new method of contour detection based on open source computer vision library OpenCV Op
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基于opencv的车牌识别程序，能实现目标跟踪，截图，车牌识别包括了打开图像、图像二值化、车牌定位、字符分割、字符识别等。-Opencv-based license plate recognition program, to achieve the target tracking shots, license plate recognition, including the open image, image binarization, license plate localization, c
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该资料为基于OpenCV的种子填充实现彩色图像分割的代码实现。-The data is based on OpenCV seed filling color image segmentation code implementation.
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8.4 水域分割
水域分割，又称watershed变换，是模仿地形图浸没过程的一种形态学分割算法，其本质是利用图像的区域特征来分割图像的，它将边缘检测与区域成长的优点结合起来，能够得到单像素的，连通的，封闭的，并且位置准确的轮廓。因此是应用比较广泛的一种图像分割算法。
-Image Watershed Segmentation
This is the implementation of the algorithm based on immersion model.
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基于视频的人脸跟踪，方法为肤色分割法有有效定位视频中人脸位置-Video-based human face tracking methods for skin color segmentation method the effective positioning Video human face location
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基于HSV颜色空间的目标检测，先阈值化实现初步分割，再二值化H通道，阈值不同结果会有差异。最后进行噪声去除。
-Target detection based on the HSV color space, the first threshold value of the initial segmentation, and then binarized H channel, there is a difference between the different results of the t
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利用opencv编程，基于直方图均衡的视频增强技术。通过分割图像，适当拉伸，增强效果较好。-Using opencv programming, based histogram equalization video enhancement technology. By image segmentation, proper stretching, enhance better.
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基于OpenCv2.45实现的图像分割拼接程序，代码易于理解，适合学习使用。-OpenCv2.45 achieve image segmentation based on stitching program code easier to understand, suitable for learning.
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基于opencv实现分水岭算法的图像分割程序，在图像的不同区域画线，然后按w键运行算法，就可得到分割图像。-Image segmentation based on opencv achieve watershed algorithm procedures, in different areas of the image line drawing, and then press the w key operation algorithm, image segmentation can be obt
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基于opencv的道路图像语义分割，用全卷积网络实现的(Road image semantics segmentation based on OpenCV and implemented by full convolution network)
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