target_trace

二维码扶正,对不同光照图片都有较好结果，涉及几种不同的二值化方法，采用霍夫检测直线和双线性变换扶正二维码，内含的7张图片都能扶正(Two-dimensional code righting, have a better picture of the different light result, involving several different binarization method using Hough transform to detect linear and bilinear righting two-dimensional code, embedded image 7 can be righting)

说明：  评估指标为点目标距离向和方位向峰值坐标、峰值旁瓣比、一维积分旁瓣比、剖面图(The evaluation indexes are peak coordinates, peak sidelobe ratio, one-dimensional integral sidelobe ratio and profile of point targets in range and azimuth directions.)

基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的(This paper proposes a powerful and robust local descriptor,called textureorientation descriptor(TOD). TOD consists of two components: texture and orientation. Considering that the human shape shows more short, fragmentary and vertical edges, the proposed TOD descriptor encodes the spatial information of pedestrian image. We combine the proposed TOD representation model with mean shift framework to perform pedestrian tracking. Results from experiments show the improved performance of the proposed algorithm, in the scenarios of heavy occlusions, illumination variations and similar objects interference, when compared with the other descriptors based trackers.)

说明：  用MATLAB编写的图像颜色迁移的GUI界面，选目标图像和源图像就可以将源图像的颜色迁移到目标图像上。(Color images prepared using MATLAB GUI interface migration, select the target image and source images can be the source of color transfer to the target image.)

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)

计算激光谐振腔内的模式以及非稳腔的相关仿真(Calculation of the mode of laser resonant cavity and the correlation simulation of unstable cavity)

图像融合拼接GUI设计，包括图像融合和图像拼接的matlab实现。(Image fusion splicing GUI design, including image fusion and image stitching matlab implementation.)

通过自定义数学运算，在图像处理中做直方图均衡化的matlab实现(Through custom mathematical operation, do the histogram equalization of matlab in image processing)

用matlab编写的SUSAN角点检测程序(Matlab prepared using SUSAN corner detection procedures)

medical image thresholding using modified SFLA