In this section, we will learn some functions used in the OpenCV library in Google Colab.
📌 OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.
📌 In this section, we will learn some functions used in the OpenCV library in colab:
- Show Image
- Change RGB to Gray scale
- Write Image
- Read Gray Image
- Edit Image
- Read and Write Image
- Mergin Two Image
- Image Pixel Values Statistics
- Create Black and White Picture
- Normalization Pciture Pixel
- Image Flip
- Draw Geometry
- Thresholding
- HSV Color
- Geometric
- ROI (Region of Intereset)
- Histogram
- Equal Histogram
- Histogram Comparision
- Bilateral Filter
- Edge Filtering
- Sobel Filter
- Canny Edge Detection
- OTSU Thresholding
- Gaussian Blur
- Image Contours
- Hoffman Line Detection
- Probability Hoffman Line Detection
- Hoffman Circle Detection
- Adding Noise to an Image
- Image Sharpening
- Harris Corner Detection
- Shi Thomas Corner Detection
- Sub Pixel Corner Detection
- HOG(Histogram of Oriented Gradients) Pedestrian Detection