- 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 |