matlab

将所以的人脸图像规一化，用灰度投影法定位脸的左右两侧，再用灰度投影大致定位眼睛，根据眼睛的距离进行几何缩放，将人脸规一化。(Will therefore face image of one of regulation, using gray-scale projection method of positioning the right and left face, and then more or less gray projector positioning the eyes, under the eyes of the distance geometry scaling, will face one of regulation.)

很好的流形学习，处理高维数据，降维操作，里面含有LLE，PCA，Dijstra,Iosmap等等(Good manifold learning, processing high dimensional data, dimensionality reduction operations, including LLE, PCA, Dijstra, Iosmap, etc.)

图像显著性，利用Itti视觉显著性分析算法，提取视觉对输入图像的感兴趣部分(Image salient regions)

对飞机进行边缘检测，阈值分割。从而达到图像感兴趣区域提取的目的，能使得图像中的飞机以黑白形式清晰地单独显示出来(Aircraft edge detection , thresholding . So as to achieve the purpose of extracting image regions of interest , can make the image appear as black and white aircraft clearly separate)

一段matlab试验程序，可以学习FFT+降噪的功能，适合初学者。(Test a matlab program, you can learn FFT+ noise reduction features, suitable for beginners.)

利用Retinex中心环绕算法进行阴影去除，飞常详细并含有程序对应的PPT(Centers around the use of Retinex algorithm to remove the shadow, flying often detailed and contain procedures for the corresponding PPT)

Impulse response, system response, for signal processing

基于傅立叶变换的数字水印嵌入技术(毕设)(内有英文翻译)(Fourier transform-based digital watermark embedding technologies (complete set) (with English translation))

C. Li, C. Xu, C. Gui, M. D. Fox, "Distance Regularized Level Set Evolution and Its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254, 2010.

说明：  1.使用medfilt2函数对‘lena.bmp’进行不同模板大小的中值滤波，并观察效果 2.使用fspecial函数构造‘gaussian’, ‘sobel’, ‘prewitt’, ‘laplacian’, ‘average’等不同滤波算子，使用filter2函数对‘cameraman.tif ’进行滤波，观察不同滤波器的效果 3.设计频域理想低通和理想高通滤波器，对‘phantom.bmp’图像进行频域滤波，显示滤波结果。然后改变截止频率，观察对结果的影响。 4.对‘homo.bmp’进行同态滤波，其中频域同态滤波器自行设计。要求在程序注释中说明你设计该滤波器的思想。(1' lena.bmp 'The median filtering with different template sizes was carried out and the effect was observed2. Fsspecial function is used to construct different filter operators such as' Gaussian ',' Sobel ',' Prewitt ',' Laplacian ',' average ', etc' cameraman.tif 'Filter and observe the effect of different filters3. Design ideal low pass and ideal high pass filters in frequency domain' phantom.bmp 'The image is filtered in frequency domain and the filtering result is displayed. Then change the cut-off frequency and observe the effect on the results.4. Yes' homo.bmp 'The homomorphic filter is designed by ourselves. The idea of designing the filter should be explained in the program notes.)