Basic processing on images with Opencv including:
- Reading and displaying the image
- Applying Laplacian filter
- Up and down sampling
- Quantization
- Adding bias
- Canny edge detector
- Laplacian transformation
- Edge detection
- Scailing
- Translation
- Histogram Analysis
- Histograms Equalization
- Histogram Matching
- Average Filter
- Median Filter
- Sobel(X and Y) Filter
- Frequency Domain Filter
- Ideal Low Pass Filter / Ideal High Pass Filter
- Gaussian Smoothing
- Tensorflow v.2
- Keras
- Preprocessig
- CNNs
- Data Augmentation
- Image Classification
- Transfer Learning