搜索资源列表
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给出一段汉语文章,根据训练集,将测试集进行分词。-Based on the maximum probability of Chinese segmentation
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基于L*a*b*空间的色彩分割程序,也就是能够根据图像中色彩空间不同的颜色,来确定不同颜色所在区域并进行划分-Based on the L* a* b* color space segmentation process, which is the color space of the image can be a different color, a different color to determine the area where the division and
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一个基于MFC的图像处理框架,包含了图像线性变换以及图像分割-An MFC-based image processing framework that includes a linear transformation of the image and image segmentation
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分割图像vb源码例子,图片切割代码,操作对象为BMP,JPG未测试是否可行。实现的大概思路:根据剪切区域的大小设置Image控件大小,向PictureClip1添加图片,根据图片的大小设置各TextBox控件的Text属性值。可从设置的X/Y坐标处开始切割,切割区域大小由用户设定。-Vb source code examples of image segmentation, image cut code, operating object BMP, JPG untested feasibilit
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基于中科院分词工具进行封装,实现了一个,
你输入一句中文,以二维字符串数组的形式返回分好的名词、动词、形容词-CAS-based segmentation tool package to achieve one, you enter a word of Chinese, in the form of a two-dimensional array of strings returned good points nouns, verbs, adjectives, etc.
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车牌定位系统代码。车牌自动识别是计算机视觉、图像处理与模式识别技术在智能交通领域应用的一项重要研究课题,是实现交通管理智能化的关键环节。而车牌定位则是车牌自动识别系统的关键技术之一,也是其难点之一。车牌定位系统对车牌识别系统来说至关重要,其定位准确度在很大程度上影响着以后的字符分割和识别结果。因此,汽车图像中牌照的正确定位是车牌识别技术中的关键所在。目前,主要通过两条技术路线进行车牌定位的研究。早期,由于受到计算机运算速度和内存大小的影响,考虑到实时性,车牌定位主要是基于灰度图像处理技术。近年来
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基于图论的图像分割——最大流最小割算法。内含最大流最小割算法通用matlab程序。-Maximum flow minimum cut algorithm- based on graph theory image segmentation. Maximum flow minimum cut algorithm contains generic matlab program.
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Image Segmentation Matlab code based on SVM along with related Paper.
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基于梯度门限的图像过区 取与分割的源代码-Image based on gradient threshold transition region extraction and segmentation
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基于字典的分词系统,使用字典对文本进行分词。-Dictionary-based word segmentation system
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cropping face area and skin segmentation with YCrCb, based on OpenCV
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二分图和图像分割的程序基础实现方法和运行图形分析的过程-Procedures based on two parted graph and image segmentation of the implementation process analysis method and operation pattern
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基于类间最大距离的阈值处理方法对一幅彩色图像进行图像分割-Between class thresholding method based on a maximum distance of a color image segmentation
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利用基于直方图的自适应阈值方法实现分割前景与背景-The use of adaptive threshold method of histogram based segmentation of foreground and background
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This a beta version of the superpixel code. It hasn t been
thoroughly tested on different architectures. It was tested on
a Linux system with Matlab 7.1, with gcc and g++ compilers.
-The random walker algorithm was introduced in the paper:
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基于MATLAB的simulink汽车仿真模型,按功能结构分割,得到汽车的能源-动力学模型-MATLAB simulation model based on the simulink car, according to the functional structure segmentation, automotive energy- kinetic model
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基于svm的分词系统,可以对一段话中的词进行分离处理-Svm-based segmentation system, the passage can be isolated word processing
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基于opencv2 vs2010的图像分割算法,手动圈出区域,自动分割相似区域-Opencv2 vs2010 based image segmentation algorithm, manually circled area, automatic segmentation similar regions
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图像分割,基于分水岭算法,对图像进行分割处理-Based on image segmentation, watershed algorithm, image segmentation
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利用肤色分割,采用MATLAB进行编程实现对图片中的人脸进行检测,程序包中还包括采用“参考白”方法进行光照补偿的源程序-Based on skin color segmentation, using MATLAB programming to realize the face detection, the package also includes a reference white approach of the source illumination compensation
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