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基于神经网络的纹理图像分割的好博硕论文-based on neural network texture image segmentation good Doctor and Master thesis! !
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基于小波变换的图像分割,很好的东西,功能强大-Image segmentation based on wavelet transform, a very good thing, a powerful
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本程序主要用于对视频场景基于语义进行分割,先用SVM向量机进行语义分类,然后再进行分割,效果很好-This procedure is mainly used for video scene segmentation based on semantics, first vector machine SVM semantic classification, and then further divided, well
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基于支持向量机的图像分割,以libsvm3.1工具箱为基础,用不同核函数的混合来实现图像分割,自己编的代码,并以成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, their compiled code to run successfully
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基于支持向量机的图像分割,以libsvm3.1工具箱为基础,用不同核函数的混合来实现图像分割,自己编的代码,并已成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, their compiled code to run successfully
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基于支持向量机的图像分割,以libsvm3.1工具箱为基础,用不同核函数的混合来实现图像分割,自己编的代码,并已成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, compiled code, and has been successfully
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基于支持向量机的图像分割,以libsvm3.1工具箱为基础,用不同核函数的混合来实现图像分割,自己编的代码,并已成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, compiled code, and has been successfully
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基于Delaunay四面体剖分的网格分割算法_胡建伟.rar-Segmentation algorithm based on Delaunay Triangulation mesh _ Hu Jianwei. Rar
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1、 首先利用readline()函数读到用户输入的shell命令,采用一个数组来保存shell命令,数组有固定的大小。
2、 在main()函数中根据字符串中是否存在 "&" 字符判断是否为后台进程。如果是后台命令则判断是否是多条指令,如果不是将分割后的命令传递给pipel()函数,如果是的话分割之后利用while循环将命令传递给pipel()函数。如果不是后台进程,需要用waitpid()函数等待子进程结束后父进程才继续。
-1, we use readLine () functio
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Segmentation map update.Read in loop filter deltas applied at the MB level based on mode or ref frame.
-Segmentation map update.Read in loop filter deltas applied at the MB level based on mode or ref frame.
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本代码实现了视频镜头分割,采用基于颜色直方图的方法(This code implements the video shot segmentation, using the method based on color histogram)
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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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