搜索资源列表
智能算法学习笔记
- 智能算法 属于模式识别内容 介绍和比较了现在常用的算法 如遗传算法等 例子通俗易懂-intellgient arithmetic belongs to pattern recognition,This notes present and compare up-to-date arithmetic,inherit arithmetic exp. The examples r easy to understand.
638_project
- 非真实感绘制的例子 The goal of this project is to explore the idea of point-based radiosity, which is a shooting radiosity technique suggested by Mark Harris at UNC. The primary idea is that features available in graphics hardware can be utilized to p
improved_gaborfilter
- Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) an
exp
- C++编写的一个图形学实例的代码-prepared by the example of a graphics code
xiaoyin
- 1. 绘出透视投影下的凸多面体图形，按下键盘上的“上”、“下”、“左”、“右”箭头可从各方位观看图形，也可以自己定义其他键值以及其他参数 2. 根据简单光照明原理绘制一个半圆柱曲面 3. 利用远近法原理绘制一个立体环 4. 利用消隐算法实现曲面z=exp(-x*x-y*y)
exp
- 对图像取指数 对图像取指数
exp
- exp1.m为对图像进行二级分解并提取每层低频信息进行压缩的源程序
Wavelet-image-denoising-procedures
- 小波图像去噪程序。th=sigma*sqrt(2*log10(L*T)) 计算阈值 ch=c(1,num(4-i,1):num(4-i,3)+step(4-i)-1) 对各高频系数进行阈值处理 chl=length(ch) for j=1:chl if abs(ch(j))>=th ch(j)=sign(ch(j))*(abs(ch(j))-2*th/(1+exp(m*(ch(j)^2)))) 阈值处理函数 else -Wavelet image denois
exp-adjust
- 数字图像处理，opencv的增强对比度函数，功能为使图像对比度更强-Digital image processing opencv contrast enhancement function, image contrast more
example2
- Coner Detect using OpenCV exp 2
cwt-ccode
- 连续小波变换程序，输入二进制文件，然后然后进行小波变换 C语言程序-/*this program compute the contious wavelet transform of the signal in a data file using the Professor A.Grossman s approach. the analyzing basic wavelet is modulated gaussian: exp(iwt)exp(-t**2/2)where w si th
mymaps_0.0.13
- mymap,自己做的一个例子，主要涉及到显示图片-map,exp
diagnose
- diagnose filefor exp
exp-graph
- 基于TMS320vc5416的图像处理 -TMS320vc5416 based image processing image processing based on TMS320vc5416
chap9
- syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )-syms x g = exp (x* sin (x)) t = tayl
jianmo
- syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )-syms x g = exp (x* sin (x)) t = tayl
exp
- 图像局部增强算法,用于增强图像的局部特性，加强对比度-enhance of local image feature
exp-contour
- 数字图像处理，opencv的边缘轮廓检测程序源代码-Digital Image Processing, opencv edge contour detection program source code
exp-corner
- 数字图像处理，脚点检测程序源代码，附含图像文件-Digital image processing, the foot point detection program source code, attached with image files
exp-imhist
- 数字图像处理，直方图显示程序，opencv版，用于观察直方图-Digital image processing, histogram display program, opencv version for the observed histogram