BMP del

这是用于人脸识别和人脸定位的主动形状模型（asm）matlab工具箱。推荐(This for face recognition and facial shape positioning initiative model (asm2) Matlab toolbox. Suggest)

This code implements two variations of the paper "High accuracy optic flow using a theory for warping" presented at ECCV 2004 by Dr. Thomas Brox.

说明：  可以实现肤色分割 RGB色彩空间转换为Ycbcr色彩空间并进行非线性变换后判别肤色(Skin color segmentation)

图像处理 清晰化 .........................(Clarity of image processing .........................)

说明：  雷达模拟LFM脉冲信号，模拟目标回波（目标距离50km，速度100m/s）和噪声信号（信噪比）(Radar simulated LFM pulse signal, simulated target echo (target distance 50km, speed 100M / s) and noise signal (signal-to-noise ratio))

图相多描述编码matlab仿真 多描述编码的matlab仿真，本科生的毕业设计 生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)

数字图像压缩方向一些经典压缩方法的matlab程序实现(Digital image compression direction, some classic compression methods, matlab program implementation)

纯C实现的 图像处理开运算，对bmp格式(Pure C implementation of image processing open operation on bmp format)

变化检测是从不同时期的遥感数据中定量分析和确定地表变化的特征与过程；遥感变化检测是一个确定和评价各种地表现象随时间发生变化的过程；遥感变化检测是遥感瞬时视场中地表特征随时间发生的变化引起两个时期影像像元光谱响应的变化(Change detection is the characteristic and process of quantitative analysis and determination of surface variation in remote sensing data different periods. Remote sensing change detection is a process of determining and uating various surface phenomena over time. Remote sensing change detection is the change of the surface feature over time in remote sensing instantaneous field.)

展示了汽车行业的应用案例。任务是利用标定的可变形匹配来定位不同方向和位置的车门(3D variable model matching)