GPUImageProcessor

在Matlab中建了图形用户界面，采用不同特征提取方式，如gray，color，lbp，灰度共生矩阵GLCM等，对数据集中的影像进行场景检索。(Graphic user interface is built in Matlab. Scene retrieval of images in dataset is carried out by using different feature extraction methods, such as gray, color, lbp, gray level co-occurrence matrix (GLCM).)

灰度图像图像锐化处理，拉普拉斯变换，梯度等(Grayscale image sharpening, Laplace transforms, gradients, etc.)

基于ENVI和IDL的以HDF形式存储的已角度配准过后的遥感图像的BRDF计算，使用的核为li_transit和ross_thick。同时还有IDL基础教程和ENVI用户手册。(ENVI and IDL in the order based on HDF have been stored in the form of point of registration after the calculation of remote sensing images of the BRDF, the use of nuclear as li_transit and ross_thick. Along with IDL and ENVI user manual Essentials.)

对由工业相机采集到的众多太阳能电池片图像信息进行处理，并对电池片的裁剪(The cutting of the battery sheet)

无线传感器网络，泛洪算法。每一轮次每个节点向中心节点发送数据。最后的生成图像为节点的死亡数。(Wireless sensor networks, the flooding algorithm. Each round, each node sends data to the central node. The final generated image is the node numbers of death.)

基于matlab的高帽变换，能很好地对图像进行一定的处理，实现图像的增强，线性特征的提取，为后续的处理做准备(Matlab-based top-hat transform good image processing, image enhancement, linear feature extraction, to prepare for subsequent processing)

matlab_基于象素的图像配准程序,很好使用,精度也很高,要用的就下载吧!(matlab_ pixel-based image registration procedures, a very good use, accuracy is also high on the download you want to use!)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

关于图像分割、区域分离和合并的matlab程序(On image segmentation, region separation and merger procedures matlab)

一个散焦模糊自动复原的算法，自动估计散焦半径，在频率域识别参数，并用最小二乘滤波复原(A defocus blur automatic recovery algorithm automatically estimated defocus radius, in the frequency domain identification parameters, and by the least squares filter restoration )