• Introduction
• Project Features
• Project Structure
• Quick Preview
• Requirements to run
• Run the project
• Try a demo
• Team

It’s an image processing implementation functions project implemented in C++ with a desktop application (Qt) that consists of five tabs that let the user add noise to an image, filter the added noise, view different types of histograms, apply thresholds to an image, and create hybrid images.

In this project you can:

• Add different types of noise to the image:
  • Salt and Papper noise.
  • Uniform noise.
  • Gaussian noise.
• Using different types of filtering:
  • Average filter .
  • Gaussian filter.
  • Median filter.
• Detect edges in the image using:
  • Sobel edge detector.
  • Roberts edge detector.
  • Prewitt edge detector.
  • Canny edge detector.
• Draw Histograms and Distribution curves for the uploaded image.
• Equalize and Normalize the image.
• Create Local, and Global thresholding.
• Transform the image from color to gray scale image and plot Red, Green, and Blue histograms with their cumulative curves.
• Apply filtering in the frequency domain.
  • Ideal Low Pass filter (smoothing).
  • Ideal High Pass filter (sharpening).
• Create Hybrid images.

Imgpro is built using:

• C++/Opencv:

  • Opencv 14/15/16 versions

• QT framework:

  • QT 6.4.2 version

QT_GUI_TASK_1
├─  Filters
│  ├─ add_noise 
│  ├─ convolution
│  ├─ edge_detection
│  ├─ helper_functions
│  └─ remove_noise
├─  Frequency
│  └─ frequency
├─  Histogram
│  └─ Histogram
├─  Threshold
│  └─ Thresholding
├─  UI
│  ├─ cannyparameters 
│  ├─ gaussiannoiseparameters
│  ├─ qcustomplot
│  ├─ saltpepperparameters
│  ├─ thresholdwindow
│  └─ uniformnoiseparameters
├─  Forms
├─  Icons
├─  Images
├─  Common
├─  imageClass
├─  main
├─  mainwindow
README.md

Qt Setup and openCV

Download Here !

Second Semester - Biomedical Computer Vision (SBE3230) class project created by: