LabVIEW

本程序在图像上指定位置话红色的矩形框作为标记，用在目标跟踪上很有用。(This procedure is specified, then the position of the red rectangle on an image as a mark for use in target tracking useful.)

The focus of this project is to experiment with intensity transformations to enhance an image.

说明：  图像处理，运动放大，视频代码展示，以及输出结果(steerable pyramid algorithm)

基于TV正则化算法的图像去噪重构，包含有论文说明，及代码实例(Reconstruction based on TV regularization algorithm for image denoising，containing the paper description, and examples)

一些常用的图像处理评价指标，处理后图像对比度，边缘剩余数，处理前后图像的相似性....(Some commonly used image processing evaluation, contrast, edges remaining number of similarities ....)

粒子滤波去噪 含噪情况下应用粒子滤波技术可以去除噪声(Particle filtering noise with noise case using particle filtering techniques can remove noise)

基于粒子滤波和卡尔曼滤波的运动目标视频跟踪程序，非常强大和实用，强烈推荐学习使用。(Kalman filter based on particle filter and target video motion tracking program, very powerful and practical, it is strongly recommended to learn to use.)

VB像素光影跟踪（图像渲染）工具,有需要的就下载吧。(VB Tracking pixel lighting (image rendering) tools, there is a need to download it.)

说明：  提出了一种基于数学形态学的多尺度熵权边缘检测方法。信息熵为图像的内在特性，由它来决定不同结构元 素所提取的边缘在最终合成边缘中所占的比重，是自适应的和客观的(A multi-scale based on mathematical morphology edge detection method of entropy. Information entropy inherent characteristics of the image, from which different structural elements to determine the edge of the extracted edge in the final synthesis of proportion, is adaptive and objective)

训练图片中检测到的目标，检测特征是基于梯度方向直方图(training target)