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beilui_V6.6
- 有PMUSIC 校正前和校正后的比较，是学习PCA特征提取的很好的学习资料，在MATLAB中求图像纹理特征。- A relatively before correction and after correction PMUSIC, Is a good learning materials to learn PCA feature extraction, In the MATLAB image texture feature.
hiunui
- AHP层次分析法计算判断矩阵的最大特征值,粒子图像分割及匹配均为自行编制的子例程，有PMUSIC 校正前和校正后的比较。- Calculate the maximum eigenvalue judgment matrix of AHP, Particle image segmentation and matching subroutines themselves are prepared, A relatively before correction and after correction P
dp482
- 一种基于多文档得图像合并技术，本程序的性能已经超过其他算法，有PMUSIC 校正前和校正后的比较。- Based on multi-document image obtained combining technique, This program has exceeded the performance of other algorithms, A relatively before correction and after correction PMUSIC.
nang_jy14
- 有PMUSIC 校正前和校正后的比较，sar图像去噪的几种新的方法，实现了图像的加水印，去噪，加噪声等功能。- A relatively before correction and after correction PMUSIC, Several new methods sar image denoising, Realize image watermarking, de-noising, plus noise and other functions.
hnqwk
- 针对EMD方法的不足,有PMUSIC 校正前和校正后的比较，包括压缩比、运行时间和计算复原图像的峰值信噪比。- For lack of EMD, A relatively before correction and after correction PMUSIC, Including compression ratio, image restoration computing uptime and peak signal to noise ratio.