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:

1. Basic operations

• Color removal
• Channel extraction (RGB)
• Adjust hue / saturation / lightness (HSL)
• Rotation, Crop and resize
• Various ways to map grey values

2. Binarization

• Otus
• Arbitrary threshold

3. Filtering

• Gaussian / median / mean filter
• Convolution with user-specified core

4. Edge detection

• Sobel / Laplace operator
• Canny edge detection

5. 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)

6. Others

• Algebra operations (addition, subtraction, multiplication)

To better relieve fellow SE students, patches and updates are always welcomed.