Introduction
This piece of work was done as the final project of my undergraduate course Computer Vision. I implemented a mini-Photoshop with C++ and Qt. The features are listed bellow:
- Zoom in/out, cut/copy/paste, resize, rotate.
- Undo.
- Addition/Subtraction/Multiply operations on image.
- Observation/Copy the RGB value of any point.
- Mosaic.
- Color Channel split, color toning in HSV,pseudo-color.
- Transform RGB image into a Grayscale image.
- Transform Grayscale image into a binary one(Otus Algorithm).
- Make histogram and histogram equalization.
- Image filter with given kernel(Box/Median/Gaussian) or self-defined kernel.
- Edge detection(sobel/laplace/canny)
- Hough Transform
- Mophology operations：dilation, erosion, open, close, thinning, thickening, distance, skeleton, skeleton reconstruction.
- Watershed algorithm.
// The features listed above were implemented manually by C++ without using the OpenCV interface.
Illustrations
The Edit menu shows some of the features
An edge detection result
User Guide
The imageProcessor.h and imageProcessor.cpp I put in the folder contain all of the core algorithm, which I think can showcase my C++ coding ability.
To get more infomation and the release package, please view the project website:
https://github.com/rebas777/CV-final-project
Please note that Qt and OpenCV support are required to run the .exe file. So it's not guarenteed that it can run on any PC.