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fftchazhi
说明: 基于matlab平台的fft加窗插值算法,适用于信号分析(Wft window interpolation algorithm based on matlab platform, suitable for signal analysis)
- 2020-06-24 11:20:02下载
- 积分:1
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CBIR_texture
CBIR系统中采用的tamura纹理特征计算程序(Tamura texture features used in CBIR system calculation program)
- 2012-09-19 10:13:00下载
- 积分:1
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steel jishu -code
基于matlab的钢筋计数方法,有ui界面(MATLAB-based steel bar counting method with UI interface)
- 2020-12-23 20:39:07下载
- 积分:1
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HDevelop
基于HDevelop的形状匹配算法参数的优化研究(The shape matching algorithm based on HDevelop Parameter Optimization)
- 2010-02-02 00:23:52下载
- 积分:1
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MATLAB(DCT+DWT)
图像数字水印的方案毕业论文,基于dct和dwt的算法,有详细程序。(digital watermark image of the program thesis, based on Extra dwt and the algorithm, a detailed procedure.)
- 2021-04-14 08:48:55下载
- 积分:1
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Project_report
Image Inpainting for object removal project report
- 2014-01-07 18:52:08下载
- 积分:1
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jushuSAR
在分析聚束合成孔径雷j盘(SAR)方位向时频关系的基础上,提出了一种新的全孔径分辨率SAR成像算法。
根据SAR在条带与聚束模式下回波信号之间的差别,利用现有成熟的条带SAR成像算法实现先对聚束SAR各方位向子
孔径成像,而后再将各方位子孔径带宽合成为全孔径带宽,以形成具有全孔径分辨率的SAR图像,极大降低了系统PRF
的要求。(In the analysis of spotlight synthetic aperture radar dish j (SAR) azimuth based on the time-frequency relationship, a new full-aperture resolution SAR imaging algorithm. According to SAR in strip and spotlight mode, the difference between the echo signal, the use of existing mature band SAR imaging algorithm first bit of the spotlight SAR the parties to the sub-aperture imaging, and then place then all the bandwidth synthetic aperture the bandwidth for the full aperture to form a full aperture resolution SAR images, greatly reducing the system PRF requirements.)
- 2010-07-07 14:03:19下载
- 积分:1
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NRSS
用于无参考图像质量评价,用MATLAB语言编写(For no-reference image quality evaluation)
- 2019-06-10 09:21:17下载
- 积分:1
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tuxiangchuli
数字图像处理的入门介绍和一些函数、原理的使用,比较适合初学者使用(Introduction to digital image processing and some of the functions, the use of the principle, more suitable for beginners)
- 2016-05-12 17:43:00下载
- 积分:1
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Feature_extraction
用于运动人体的图像特征提取,提取的特征包括,高宽比,速度,紧密度,灰度共生矩阵,hu矩,主成分分析,离散余弦变化,图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, discrete cosine transform, image preprocessing and so on.)
- 2018-03-22 16:21:21下载
- 积分:1