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MATLAB.rar
- 自己现在在做的论文用到灰度共生矩阵，找了好久都没找到很好用的，所以自己就编了个，不很完美，但绝对可用，已经实现过。包括灰度共生矩阵的生成以及一些特征参数。f1，二阶距。f2，对比度。f3，相关。f5，逆差距。f6，和平均。f7，和方差。f9，差平均。f10，差方差。请不吝赐教。,Now do their own papers in the gray co-occurrence matrix used to find for a long time to find no good use, so
shuzituxiangchuli
- 用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括： 1、图像增强算法 （1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）； （2）直方图均衡：可在界面上对比均衡前后的效果。 2、图像变换算法 （3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图； （4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。 3、图像分
fft
- 对图像进行傅里叶变换，及反变换,实现从时域到频域的转换-Fourier transform of the image, and inverse transform, from the time domain to the frequency domain
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- 8.Real-time phase-contrast MRI of cardiovascular blood flow using undersampled radial fast low-angle shot and nonlinear inverse reconstruction 图形图像处理文章-8.Real-time phase-contrast MRI of cardiovascular blood flow using undersampled radial fast low-a
appl3_1
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_2
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_3
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_4
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_4_1
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
rbf_tomo_1_01
- Acoustic tomography involves sending a sonic signal across a measurement area and timing how long it takes to travel the distance. A number of transducers are situated around the measurement area to achieve this. Since the absolute sonic speed is aff