Description

This is a practice project that using Python with OpenCV.

Requirements

• Python==3.7.0
• opencv-contrib-python==3.4.2.17
• matplotlib==3.1.1
• numpy==1.18.5
• PyQt5==5.15.1
• pyqt5-tools==5.15.1

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Show the results

1. Image Processing

1) Load Image File

2) Color Separation

Extract 3 channels of the image BGR to 3 separated channels.

3) Image Flipping

Flip the image

4) Blending

Combine two images and ese Trackbar to change the weights and show the result.

2. Image Smoothing

Original image:

1) Median filter

Apply 7x7 median filter.

2) Gaussian blur

Apply 3x3 Gaussian blur.

3) Bilateral filter

Apply 9x9 Bilateral filter with 90 sigmaColor and 90 sigmaSpace.

3. Edge Detection

Original image:

1) Gaussian Blur(without OpenCV)

2) Sobel X

3) Sobel Y

4) Magnitude

Use the results of Sobel X and Sobel Y to calculate the magnitude.

4. Transforms

With Rotation, Scaling, Translation with (x, y) as following parameters:

Original image:

After transform: