There is a type of problem in the competition related to graphics. Even if it has nothing to do with graphics, there should be many pictures in the paper. How to display these graphics and how to process them are the problems that need to be solved. Matlab is usually used for processing.
Image processing is the field of artificial intelligence and computer science that digitally processes, improves and analyzes images obtained by digital image sensors. It involves many complex algorithms for processing and analyzing images to extract and identify the useful information contained within them. Here are some common image processing algorithms:
1. Fourier Transform: used to convert time domain images into frequency domain images. It is commonly used in image filtering, noise removal, image compression, etc.
2. Filter: Filter is used to adjust the frequency response of the image, filter out noise at specific frequencies or enhance frequency components of interest. It can be a low pass, high pass, band pass, band stop filter etc.
3. Histogram Equalization: Histogram equalization is used to enhance the contrast and brightness of the image by adjusting the distribution of pixel intensity values to make the image clearer and easier to process.
4. Edge Detection: The edge detection algorithm is used to find areas with large changes in pixel brightness in the image to extract the boundaries of the object.
5. Segmentation: Image segmentation refers to the process of dividing pixels in an image according to their specific attributes or regions, including region-based, edge-based, threshold-based and other methods.
6. Feature Extraction: Feature extraction is the process of extracting useful information from images, such as shape, texture, color, size and orientation, etc. These features are commonly used for tasks such as image classification, recognition, and detection.