搜索资源列表
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用matlab程序做的 车牌字符分割程序，能很好的解决智能交通中的车牌追中。-Matlab program to do with the license plate character segmentation process can be a good solution in the license plate smart catch in traffic.
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提取指纹特征点的matlab代码，很有用，利用自适应阈值进行分割，再进行频域增强，根据八邻域纹线编码进行特征提取。-Extracted fingerprint feature points of the matlab code, useful, adaptive threshold segmentation, and then increased in frequency domain, the eight neighborhood ridge coding for feature extrac
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Graph cut Image Segmentation
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perform segmentation matlab source code
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图像分割，特征提取 matlab实现
-Image segmentation, feature extraction matlab implementation
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基于标记约束的分水岭分割程序
简单的图像分割算法-Marked a watershed-based segmentation procedure bound
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用meanshift算法实现图像分割，较经典的方法，效果较好-Meanshift algorithm using image segmentation, the more classical methods, better
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it is fcm code for kidney segmentation.
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otsu histhgram-it is usefule for segment an image base on histhogram segmentation.
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image color segmentation using Euclidean and Mahalanobis methods
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COLEA is a Matlab Speech Processing Toolkit with a graphical user interface.
This program can be used to edit speech waveforms (cut, copy or paste selected speech segments) and compute spectrogramss. It includes several speech related tools incl
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能完成车牌字符识别的整个流程，包括车牌定位，字符分割，字符识别等过程。-To complete the entire license plate character recognition process, including license plate location, character segmentation, character recognition process.
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一个很好用matlab编写的图像分割程序，正在进行图像分割学习的可以下载下来看看。很好的资料-A good use matlab image segmentation procedures, image segmentation ongoing learning can download it and see. Good information
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基于matlab的图像二值化、阈值分割算法以及区域标记算法(Image two value, threshold segmentation)
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iris segmantation in matlab
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matlab实现图像拼接的算法，供matlab图像分割学习(MATLAB image stitching algorithm for MATLAB image segmentation learning)
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采用遗传算法进行图像分割程序matlab(Using genetic algorithm for image segmentation program matlab)
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基于遗传算法实现灰度图像二阈值分割，使图像分割的更合理(Two threshold segmentation of gray image based on genetic algorithm, which makes the image segmentation more reasonable)
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常用代码大全，包含滤波，增强，图像分割，阈值，曲线拟合等。(Code encyclopedia, including filtering, enhancement, image segmentation, threshold, curve fitting, etc)
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将理论知识、科学研究和工程实践有机结合起来，内容涉及数字图像处理和识别技术的方方面面，包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容；同时对于机器视觉进行了前导性的探究，重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络（ANN）和支持向量机（SVM），并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific re
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