文件名称:image
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 82kb
- 下载次数:
- 0次
- 提 供 者:
- yang****
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
应用matlab或VC语言编制图像处理软件,软件功能如下:
一、实验类型
1. 读入图像,并对灰度图像或彩色图像进行显示,对彩色图像可以转化为灰度图像;(8学时)
2. 对读入的图像可以实现减小和提高图像分辨率的功能(16学时)
3. 计算灰度图像的直方图并进行显示,讨论不同图像灰度分布的直方图特征(16学时)
4. 对上述图像进行直方图均衡化处理,分析直方图均衡化的处理结果;(16学时)
5. 对给定的彩色图像,显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成中值滤波和均值滤波,模板大小取 , , , ;(16学时)
6. 对上述功能设计功能界面(8学时)
二、设计类型
1、 噪声分析 在不同光照条件下获取图像,从图像中截取一部分背景灰度区(单一灰度),对该子图像进行直方图统计,分析不同光照条件下的噪声强度。
2、 设计一高斯平滑滤波器和加权平滑滤波器,分别采用两种滤波器取模板大小为 , , , 的情况下进行图像平滑,分析两种滤波器的处理结果,并讨论不同模板大小情况下的处理结果。
3、 对上述功能设计功能界面
-VC application or language matlab image processing software, software features are as follows:
First, the experiment type
1. Read into the image, and gray-scale images or color images show that color images can be transformed into gray-scale image (8 hours)
2. To read the image can be reduced and improve the function of image resolution (16 hours)
3. Gray-scale image histogram calculation and display, to discuss the distribution of different gray-scale image histogram features (16 hours)
4. The above histogram equalization image processing, analysis, histogram equalization processing results (16 hours)
5. Of a given color image shows the R, G, B three-component image and the noise image H, S, I completed three-component median filter and mean filter, template size check,,, (16 hours)
6. Functional design features of the above-mentioned interface (8 hours)
Second, design the type of
1, the noise analysis in different light conditions to obtain images from the image
一、实验类型
1. 读入图像,并对灰度图像或彩色图像进行显示,对彩色图像可以转化为灰度图像;(8学时)
2. 对读入的图像可以实现减小和提高图像分辨率的功能(16学时)
3. 计算灰度图像的直方图并进行显示,讨论不同图像灰度分布的直方图特征(16学时)
4. 对上述图像进行直方图均衡化处理,分析直方图均衡化的处理结果;(16学时)
5. 对给定的彩色图像,显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成中值滤波和均值滤波,模板大小取 , , , ;(16学时)
6. 对上述功能设计功能界面(8学时)
二、设计类型
1、 噪声分析 在不同光照条件下获取图像,从图像中截取一部分背景灰度区(单一灰度),对该子图像进行直方图统计,分析不同光照条件下的噪声强度。
2、 设计一高斯平滑滤波器和加权平滑滤波器,分别采用两种滤波器取模板大小为 , , , 的情况下进行图像平滑,分析两种滤波器的处理结果,并讨论不同模板大小情况下的处理结果。
3、 对上述功能设计功能界面
-VC application or language matlab image processing software, software features are as follows:
First, the experiment type
1. Read into the image, and gray-scale images or color images show that color images can be transformed into gray-scale image (8 hours)
2. To read the image can be reduced and improve the function of image resolution (16 hours)
3. Gray-scale image histogram calculation and display, to discuss the distribution of different gray-scale image histogram features (16 hours)
4. The above histogram equalization image processing, analysis, histogram equalization processing results (16 hours)
5. Of a given color image shows the R, G, B three-component image and the noise image H, S, I completed three-component median filter and mean filter, template size check,,, (16 hours)
6. Functional design features of the above-mentioned interface (8 hours)
Second, design the type of
1, the noise analysis in different light conditions to obtain images from the image
相关搜索: B-snake
matlab
图像处理软件
直方图均衡
直方图均衡化
matlab
实现
图像
强度
分布
图像
截取
equalization
a
color
image
in
matlab
高斯平滑滤波
子图像
matlab
图像处理软件
直方图均衡
直方图均衡化
matlab
实现
图像
强度
分布
图像
截取
equalization
a
color
image
in
matlab
高斯平滑滤波
子图像
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下载文件列表
040920108
.........\change.m
.........\GaussFilterMatrix.m
.........\hw7_b.m
.........\jiangdifen.m
.........\jiangdifen1.m
.........\jiaquanFilter.m
.........\my_gaosi.m
.........\my_jiaquan.m
.........\my_mean.m
.........\my_mean1.m
.........\my_median1.m
.........\rgbtranhsi2.m
.........\shiyan1fig.fig
.........\shiyan1fig.m
.........\shiyan2.fig
.........\shiyan2.m
.........\shiyan4.fig
.........\shiyan4.m
.........\tigaofenbian.m
.........\zaosheng.fig
.........\zaosheng.m
.........\zaosheng1.m
.........\zaosheng2.fig
.........\zaosheng2.m
.........\zhifangtu.m
.........\zhifangtujunheng.m
.........\zonghe.fig
.........\zonghe.m
.........\change.m
.........\GaussFilterMatrix.m
.........\hw7_b.m
.........\jiangdifen.m
.........\jiangdifen1.m
.........\jiaquanFilter.m
.........\my_gaosi.m
.........\my_jiaquan.m
.........\my_mean.m
.........\my_mean1.m
.........\my_median1.m
.........\rgbtranhsi2.m
.........\shiyan1fig.fig
.........\shiyan1fig.m
.........\shiyan2.fig
.........\shiyan2.m
.........\shiyan4.fig
.........\shiyan4.m
.........\tigaofenbian.m
.........\zaosheng.fig
.........\zaosheng.m
.........\zaosheng1.m
.........\zaosheng2.fig
.........\zaosheng2.m
.........\zhifangtu.m
.........\zhifangtujunheng.m
.........\zonghe.fig
.........\zonghe.m