colormoments

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，学习非常值得(The interface graphics with input and output functions designed by GUI of MATLAB have strong visibility and worth learning.)

基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 (Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two granularities. Then the notion of adjustment coefficient is introduced on the basis of distance based anomaly detection method, and the abnormal trajectories are detected combining density and distance. )

利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

用拉普拉斯金字塔的方法，对两幅聚焦位置不同的图象进行融合处理，获得更清晰的图象。(Laplace pyramid, focusing on two different positions of the image fusion, more clearer picture.)

基于ESS303开发板的OV7670_VGA拍照功能实现(Implementation of OV7670_VGA camera function based on ESS303 development board)

进行黄豆质量评估，还可以对其他材料进行评价，主要是图像处理方面的(For soybean quality assessment, but also other materials can be evaluated, mainly in image processing)

基于改进遗传算法的单阈值图像分割方法，该方法在基础遗传算法的基础上进行了改进(Application of Basic Genetic Algorithms in Image Segmentation)

说明：  基于混合高斯模型和matlab代码实现的前景提取(Foreground extraction based on gaussian mixture model)

用visual C++开发的图像匹配与处理系统，包括图像处理与图像匹配算法，NCC,梯度强度相关，互信息匹配等(With visual C++ development of image matching and processing systems, including image processing and image matching algorithm, NCC, gradient strength related mutual information matching)