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此压缩文件中包含了半学期以来做的所有的计算机图形学实验，包括DDA生成直线和圆，扫面线填充任意形状的图形的算法、运动的小车、月绕太阳转、抛物线的生成、星形的生成、点阵式、矢量式算法实现的字符的生成，二维图形的各种变化用矩阵的方法实现，三维图形的投影等，实验内容丰富全面，而且都能在TC下运行，生成显示图像。-This compressed file contains a half-term has to do all the computer graphics experiments, inclu
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gabor_function1该程序对Gabor核函数某个尺度和方位的三维形状和二维平面图像进行显示
gabor_function2该程序对Gabor核函数五个尺度和八个方位的二维平面图像进行显示，共产生40个二维平面图像
这两个程序对理解gabor小波很有帮助哦-gabor_function1 the program of Gabor kernel function of a scale and orientation of the three-dimensional shape an
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Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D s
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对形图像的经过边缘提取后得到的二值图像边缘进行细化，提取单像素的边缘，使得边缘是成为清楚的单像素的边缘。-After images of the shape after the edge extraction of the binary image to refine the edge, the edge extraction of a single pixel, making the edge is to be clear of the edge of a single pixel.
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本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声，椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise and salt and pepper noise in
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Shape Identification for Basic Images like square, circle.
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Lip image analysis has attracted much interest in
recent years because some important speech information is
contained in the shape and movement of the lip. To extract
such information from the lip images, accurate and robust
lip region segmen
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Improved Active Shape Model for Facial Feature
Extraction in Color Images
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ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Descr iption This is an example of the basic Active Shape Model (ASM) as introduced by Coot
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Gabor滤波器经常被用于形状检测和特征提取，比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。
代码使用如下：
function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta)
from gaborfilter1 with different f(Frequency) and theta(Angle).
for example
f:0,2,4,8,16,32
theta = 0,pi/3,pi/6
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实现图像的清晰分割，效果明显,基于图像灰度-梯度构造的二维直方图，在此基础上计算目标与背景的二维Renyi熵-It can handle more types of images and get more accurate shape of the image edgee that pixels gradient information in combination with parameter of Renyi entropy which is adjustable
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CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a descr iption of the primitive features of an image color and shape. These features are extracted and use
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数字图像处理matlab实现，包括如下程序：
1.直方图规定化为高斯双峰函数
2.窗口形状自适应（十字形或矩形）的中值滤波
3.彩色图像目标提取并与背景图像合成
4.插值外推法的彩色图像饱和度调整
5.多种插值方法实现的图像放大和缩小
6.频域变换及分析
7.几何校正
8.插值外推法的黑白图像对比度增强
9.运动模糊矫正-Digital image processing matlab realize, including the following proce
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matlab source code for shape detection and recognition in images
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