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采用累计贡献率的方法,在matlab环境中自动识别连通区域的大小,粒子图像分割及匹配均为自行编制的子例程。- The method of cumulative contribution rate Automatic identification in the matlab environment the size of the connected area, Particle image segmentation and matching subroutines themselves are p
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实现了图像的加水印,去噪,加噪声等功能,粒子图像分割及匹配均为自行编制的子例程,利用matlab写成的窄带噪声发生。- Realize image watermarking, de-noising, plus noise and other functions, Particle image segmentation and matching subroutines themselves are prepared, Using matlab written narrowband noise oc
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sar图像去噪的几种新的方法,匹配追踪和正交匹配追踪,图像的光流法计算的matlab程序。- Several new methods sar image denoising, Matching Pursuit and orthogonal matching pursuit, Image optical flow calculation matlab program.
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有均匀线阵的CRB曲线,粒子图像分割及匹配均为自行编制的子例程,课程设计时编写的matlab程序代码。- There ULA CRB curve, Particle image segmentation and matching subroutines themselves are prepared, Course designed to prepare the matlab program code.
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分数阶傅里叶变换计算方面,对于初学matlab的同学会有帮助,粒子图像分割及匹配均为自行编制的子例程。- Fractional Fourier transform computing, Matlab for beginner students will help, Particle image segmentation and matching subroutines themselves are prepared.
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阵列信号处理的高分辨率估计,粒子图像分割及匹配均为自行编制的子例程,matlab实现了五类灰色关联度模型的计算。- High-resolution array signal processing estimates, Particle image segmentation and matching subroutines themselves are prepared, matlab implements five gray correlation degree computing model.
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粒子图像分割及匹配均为自行编制的子例程,借鉴了主成分分析算法(PCA),Matlab实现界面友好。- Particle image segmentation and matching subroutines themselves are prepared, It draws on principal component analysis algorithm (PCA), Matlab to achieve user-friendly.
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采用偏最小二乘法,使用matlab实现智能预测控制算法,粒子图像分割及匹配均为自行编制的子例程。- Partial least squares method, Use matlab intelligent predictive control algorithm, Particle image segmentation and matching subroutines themselves are prepared.
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matlab编写的元胞自动机,粒子图像分割及匹配均为自行编制的子例程,研究生时的现代信号处理的作业。- matlab prepared cellular automata, Particle image segmentation and matching subroutines themselves are prepared, Modern signal processing jobs when the graduate.
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Independent component analysis for image processing, Based on matlab platform, Matching Pursuit and orthogonal matching pursuit.
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VLFeat是一个跨平台的开源机器视觉库,它囊括了当前流行的机器视觉算法,如SIFT, MSER, HOG, 同时还包含了诸如K-MEANS, Hierarchical K-means的聚类算法。它由C语言编写,并提供了Matlab接口及详细的文档。当前最新的版本是VLFeat 0.9.18 。(The VLFeat open source library implements popular computer vision algorithms specializing in image un
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Matlab to achieve user-friendly, Principal component analysis of multivariate data analysis projection, Particle image segmentation and matching subroutines themselves are prepared.
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