Image Processing Toolbox

Desktop Application - Written in Python (Pyqt5)

Application Characteristics:

A python-based GUI application that executes and illustrates many image processing concepts such as:

1. Image viewer

• Open this types of images: DICOM, JPG, BMP, also detect corrupted one.
• view metadata such as: width, height, total soze, bit depth, image color, for DICOM image only: modality, patient name, patient age, body part examined.

2. Zooming using interpolation methods

• Nearest Neighbor
• Bilinear

3. Affine Transformation

• Rotation
• Resize
• Shearing

4. Histogram Equalization
5. Morphological Operations

• Erosion
• Dilation
• Opening
• Closing

6. Filters

• Spatial Domain
• Frequency Domain

7. Add and Remove Salt & Papper noise

• Using Median filter

8. Noise

• Create a Phantom image
• Add Gaussian or Uniform noise to the image
• User draws a rectangular ROI (Region of Interest) on the image then draw its histogram

9. Remove the periodic pattern

Preview

Image Viewer

Zooming using Interpolation Methods

Affine Transformation

Histogram Equalization

Back Projection

Fourier

Gaussian and Uniform noise

Salt & Papper Noise and Median filter

Morphological Operations