General description
Upon completion of the course, students will acquire the following knowledge:
- Familiarity with the Matlab software.
- Understanding how to display and manipulate images in Matlab.
- Performing basic image processing tasks in Matlab.
- Applying examples in Matlab on how to process images pixel by pixel.
- Applying examples using the Histogram Point Processing method.
- Applying Fourier transforms to images.
- Performing image processing in the frequency domain.
- Applying examples that demonstrate the importance of frequency domain processing for images.
- Displaying compressed images in Matlab using various methods.
- Applying image compression techniques in Matlab.
- Applying decompression techniques in Matlab.
- Applying methods to measure errors resulting from compression and decompression in Matlab.
- Implementing key algorithms related to image segmentation.
- Applying essential Morphology operations on images.
- Applying classification techniques.
- Running examples that involve handling images with neural networks.