This is a course project, a utterly retarded digital image processing tool for SE342 Computer Vision @ SJTU.
The project includes two separate module, image algorithm implementation package and App a GUI application that provides easy access to algorithms.
Time is limited. Human mind is stupid. Project requirements are obscured. Let's appreciate what a student have done in just days before the deadline.
Copy image folder to your python 3 project and add from image import *.
Or you can run GUI app with python3 main.py in command line.
image package provides following naive algorithm implementation:
- Basic operations
- Color removal
- Channel extraction (RGB)
- Adjust hue / saturation / lightness (HSL)
- Rotation, Crop and resize
- Various ways to map grey values
- Binarization
- Otus
- Arbitrary threshold
- Filtering
- Gaussian / median / mean filter
- Convolution with user-specified core
- Edge detection
- Sobel / Laplace operator
- Canny edge detection
- Morphology
- Erosion, dilation, opening, closing
- Morphological reconstruction
- Watershed
- Thinning and thickening (binary image only)
- Skeleton and skeleton reconstruction (binary image only)
- Distance transformation (binary image only)
- Others
- Algebra operations (addition, subtraction, multiplication)
To better relieve fellow SE students, patches and updates are always welcomed.