Basic Image Processing

The exploration of basic image processing techniques continues, forming the foundation for how machines perceive and manipulate visual data. By transforming raw pixel information into a structured format, image processing enables higher-level computer vision tasks.

In this chapter, you will gain insights into fundamental operations like filtering, transforming, and segmenting images. These operations are crucial for enhancing image quality, extracting valuable features, and preparing images for further analysis. You will learn how to apply mathematical concepts to modify and improve images, such as convolution for edge detection and histogram equalization for contrast adjustment.

Furthermore, this chapter introduces the practical application of these techniques through hands-on exercises. You will work with popular tools and libraries that streamline the image processing workflow, allowing you to experiment and observe immediate results. By the end, you will have a solid understanding of how basic image processing functions serve as the critical first steps in enabling machines to interpret visual data effectively.