ImageProcessing
Introduction to image processing with python
Arrays in python
Some first steps into using numpy arrays as images
- Creating arrays
- Math with arrays
- Loading and saving arrays (images)
Working with images
- Images
- Basic sampling
- Contrast and brightness
- The histogram
- Basic arithmetics
Noise in images
- Noise in images
- Noise types
- Signal to noise ratio
- Simulate neutron transmission with noise
Image filtering
Continuing the noise topic and look at methods to suppress noise and artefacts from the images
- Linear filters using convolution
- Spot cleaning algorithm using the median filter
- 2D vs 3D filters
- Edges after filtering
Basic segmentation and morphology
Many image analysis tasks rely on identifying regions in the image that fulfil some criteria. The first operation you come across is thresholding and later also morphological operators. In this tutorial you will learn about
- Placing a threshold using the image histogram.
- Algorithms to find the threshold.
- Measuring the thresholding performance.
- Morphological operations like erosion, dilation, opening, and closing.