View Code? Open in Web Editor
NEW
Includes image smoothing, sharpening, and hough transfer.
MATLAB 69.28%
Python 30.72%
simple-digital-pic-process's Introduction
Simple Digital Pic Process
- This simple project includes functions as below, you can run each file separatedly.
- Detailed comments and annotations are in each file.
- My example picture (exp.jpg) is a rgb picture. You can use your own rgb picture and rename it exp.jpg, then, run the file without any change.
- Develop Environment: Windows 7 + MATLAB R2014a
| Function |
File Name |
| Image Smoothing |
imageSmoothing.m |
| Image Sharpening(Edge Extraction) |
imageSharpening.m |
| Median Filtering |
medianFiltering.m |
| Histogram Equalization |
histEqualization.m |
| Hough Transfer(Line Extraction) |
houghTransfer.m |
| Low-Pass Filtering in Frequency Domain(ideal filter & Gaussian filter ) |
idealnGaussianLowPassFilter.m |
| Low-Pass Filtering in Frequency Domain(Butterworth filter) |
butterworthLowPassFilter.m |
| Image Motion Degradation and Restoration |
imageDegradationnRestoration.m |
- 工程包含以下的功能以及文件，独立的运行每个文件即可达到要求。
- 细节的注释在文件中单列。
- 示例图片命名为exp.jpg，是一个RGB格式的图片。你可以使用你自己的图片作为处理对象。如果重命名为exp.jpg，程序不作修改就可以继续运行。
- 开发环境： Windows 7 + MATLAB R2014a
| 实现功能 |
文件名 |
| 图像平滑 |
imageSmoothing.m |
| 图像锐化（边缘提取） |
imageSharpening.m |
| 中值滤波 |
medianFiltering.m |
| 直方图均衡化 |
histEqualization.m |
| hough变换(直线提取) frequency filtering |
houghTransfer.m |
| 频域低通滤波（理想滤波器与高斯滤波器） |
idealnGaussianLowPassFilter.m |
| 频域低通滤波（巴特沃斯滤波器） |
butterworthLowPassFilter.m |
| 运动退化生成与复原处理 |
imageDegradationnRestoration.m |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent