area_perimeter-and-aspect-ratio

基于快速核独立分量分析的图像反光分离研究 (Fast Kernel independent component analysis based on the image separation of reflection)

采用了小波变换的方法实现了红外光图像与可见光图像的融合，并且设计了一个简单的matlab GUI界面。小波变换的分解层数为2层，采用低频平均高频取大的融合规则，融合效果非常欢迎下载。(The method of wavelet transform is used to realize the fusion of infrared and visible light images, and a simple matlab GUI interface is designed. The number of decomposition layers of the wavelet transform is 2 layers, and the fusion rule is adopted by the low frequency average high frequency. The fusion effect is very welcome to download.)

去噪算法matlab源码三合一，包含BLS-GSM，BM3D，NLM(Denosing algorithms 3 in 1, include BLS-GSM+ BM3D+ NLM)

SIFT代码，多用于图像拼接，匹配精度高(sciences code used for image stitching, matching high accuracy)

CT反投影重建的R-L滤波函数与S-L函数，应用对象为matlab自带shepp-logan模型图像(R-L function and S-L function applying to CT backproject reconstruction)

卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)

用PYQT进行GUI的详细资料，可以对照参考。。。。。。(The detailed information of GUI with PYQT can be compared to reference. The detailed information of GUI with PYQT can be compared to reference.)

用matlab实现自适应图像阈值分割最大类方差法代码(Using MATLAB to achieve adaptive threshold image segmentation Otsu method code )

面向CameraLink接口的Kintex7与TMS320C6678视觉图像处理系统硬件设计说明(Hardware design of Kintex 7 and TMS320C3378 with CameraLink interface)

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)