automate_image

建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)

为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 (PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component Analysis (kpca) method, 16 kinds of different regions of our country the quality of fermented bean curd had a comprehensive evaluation.)

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)

说明：  基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好(Based on background difference and frame difference method applied to two-dimensional target tracking filter, better)

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.)

基于物体灰度图像的物体三维形状恢复，修改图形路径和光源方向即可(Based on the three-dimensional shape of the object to restore the object grayscale image, modify the graphics path and direction of the light source can be)

这是清华大学章毓敏写的图像工程，分上中下三册，希望对学习图像处理的学者有所帮助。(This is the engineering of Tsinghua University Zhang Yumin, write the image points on the three, hoping to help scholars learn image processing.)

face recognition example for learning

用matlab实现的对数极坐标转换图像配准算法，实验证明效果不错(Using matlab realize logarithmic polar coordinate conversion image registration algorithm, experiments show good results)

将语音文件.wav转化为FPGA所需的.mif文件(The voice file. Wav into the FPGA required. Mif file)