susan-

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图( 1. Using Matlab generated sine wave, square wave, and the white noise signal, and displays the respective time-domain waveform 2. The FFT transform, showing each spectrum, where the sampling rate, frequency, data length choice 3. Rms signal to make the three maps, power spectra, as well as the number of rms spectra 4. With the inverse Fourier transform IFFT restore the signal and displays the recovered time-domain waveform sinusoidal signal)

说明：  用matlab写的t-snake的算法用于处理比较简单的情况有一定参考价值(using Matlab write t-snake algorithm for handling simple reference of a certain value)

可以打开各种图像格式，并显示，很好很强大(Can open a variety of image formats)

自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。(This is a M function written by self, it can be used to rebuild a image with a given number of gray-level and a given gray-scale. Output image is double class.)

该程序为离焦模糊参数识别的方法,通过canny算子检测边缘，用hough变换检测直线的方法求离焦半径。(The program for the defocus blur parameter identification method by canny operator edge detection using hough transform line detection method for the defocus radius.)

图像的简单匹配程序，在左影像上点一点，然后使用相关系数法在右影像上进行全局遍历，找到相关系数最大的点，设为匹配的目标点。(Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlation coefficient, to match the target point.)

图像的超分辨率重建，比利用了三次插值好，matlab代码，初学者(Image super-resolution reconstruction, than the use of three interpolation is good, matlab code, beginners)

通过对彩色图像的处理，来计算某一个区域的面积。(The color image processing to calculate the area of ​ ​ a region.)

实现稳定婚姻算法过程，可进行M个男士与N个女士的稳定配对过程(To achieve a stable marriage algorithm process, can be carried out with the M N men and women s stable matching process)

区域邻接图的合并规则，在进行区域合并时可以使用，希望对大家有用(region merging for region adjecent gragh，might it be help for you.)