The chapter “Digital Image Processing and Analysis” provides an in-depth discussion of the principles, techniques, and applications of digital image processing and analysis. It looks into the acquisition, manipulation, and extraction of critical information from digital pictures. The chapter begins by introducing the concept, characteristics, and format of digital photos, as well as the fundamental image processing processes. The chapter also looks at how digital image properties like resolution, bit depth, and colour spaces affect image processing and analysis. Following that, the chapter delves into digital image processing techniques. Image enhancement techniques such as spatial domain and frequency domain approaches for boosting image quality, contrast, and sharpness are covered. The chapter discusses picture restoration techniques for reducing image noise, blur, and other flaws. Image compression techniques for lowering digital image storage and transmission requirements, as well as image processing and classification, are also covered. The chapter also goes over digital image processing and interpretation. It investigates ways to feature extraction for recognizing and quantifying specific visual features, such as edge detection, texture analysis, and shape analysis. This chapter also discusses pattern recognition and machine learning approaches used in image categorization and object detection applications. The chapter explains how digital image analysis can be used to extract relevant information for decision-making, research, and problem-solving.