搜索资源列表
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自组织神经网络用于图像分割matlab实现-self-organizing neural networks for image segmentation achieve Matlab
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中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
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matlab 关于二值图像熵和交叉熵的计算程序,这一程序与结合其它方法对图像进行分割,作为一个判断标准.,matlab on the binary image entropy and cross entropy calculation procedure, which in combination with other methods and image segmentation, as a criterion.
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应用matlab实现基于遗传算法的图像处理问题-Application of matlab genetic algorithm based on image segmentation
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MATLAB环境下，基于脉冲耦合神经网络（pcnn）的图像分割-MATLAB environment, using pulse coupled neural network (pcnn) image segmentation
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尿沉渣图像识别，采用形态学图像分割，som进行识别！-urine image recognition, image segmentation using morphological, som identification!
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基于遗传神经网络的图像分割[神经网络实用教程中的实例]-Based on Genetic Neural Network for Image Segmentation [neural network tutorial and practical examples]
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利用改进的脉冲神经网络完成灰度图像的分割-The use of impulsive neural networks to improve the completion of gray-scale image segmentation
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该源码是神经网络中常用的遗传算法的代码。遗传算法是最优化常用的解法之一。-The source code is generated gabor operator of the source image characteristics, such as image segmentation can be used.
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基于水平集的图像分割方法，用Matlab实现。-Level set based image segmentation method, using Matlab to achieve.
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用matlab实现算法，基于遗传算法的图像分割问题-Matlab algorithm based on genetic algorithm, the image segmentation problem
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MR图像分割的博士论文，对医学图像处理尤其是医学图像分割很有帮助-MR image segmentation of the doctoral thesis, especially in medical image processing medical image segmentation helpful
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matlab实现的车牌图像分割，有配套的汽车图片-matlab implementation of the license plate image segmentation, matching the car pictures
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Matlab车牌定位和分割的小程序，本人已经完全实现，并带有相应的测试图片，请大家参考！-Matlab license plate location and segmentation of the small program, I have been fully implemented and tested with the corresponding image, please refer to!
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基于遗传算法的图像分割,使用遗传算法分割图像。-Image Segmentation Based on Genetic Algorithm
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用matlab编写的采用遗传算法进行图像分割程序-Using matlab genetic algorithm for image segmentation procedures
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本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章－第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章－第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章－第12章，是两个综合性较强的实例，分别足Visual
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Data packet transfer source program, Rotating machinery 2-d holographic spectrum calculation.
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Particle image segmentation and matching subroutines themselves are prepared, NRZ type differential phase modulation signal modeling and simulation analysis, Conducted through virtual array DOA estimation.
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Particle image segmentation and matching subroutines themselves are prepared, Stepwise linear regression, Robustness, superior performance.
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