The book "Processing and analysis of images in machine vision problems" by Wiesilter Yu. In. and his colleagues is an indispensable resource for anyone interested in modern technologies in the field of computer vision and image processing With the rapid development of artificial intelligence and machine learning, this work becomes not just relevant, but vital for students, researchers and practitioners working in this field. From the first pages, the book immerses the reader in a world where images become not just static objects, but a source of valuable information. The authors consider in detail the methods of image processing, ranging from basic algorithms to complex techniques used in real-world problems. The reader will learn how to extract useful data from images, how to recognize objects, and how to analyze visual information using machine learning algorithms. This book is not just a theoretical manual, but a practical guide that offers many examples and tasks for independent solution. Who can like this publication? First of all, it will be a godsend for students and graduate students of technical specialties studying computer science, robotics and artificial intelligence . However, interest in the book will be shown not only by students, but also by professionals working in the field of software development, security systems, medical diagnostics and many other areas where visual information analysis is required. If you are passionate about technology, strive for new knowledge and want to be at the forefront of scientific research, this book will become your reliable companion. The topics raised in the book cover a wide range of issues, ranging from basics of image processing to modern approaches to machine learning. The authors discuss important aspects such as image filtering, segmentation, facial and object recognition, and deep learning techniques that have become the basis of many successful computer vision applications in recent years. The book not only describes the existing methods, but also analyzes their effectiveness, which allows the reader to better understand what approaches can be applied in different situations. The writing style of Wiesilter and his team is clear and accessible, which makes complex concepts understandable even for those who are just beginning their journey in this area. The authors use many illustrations and examples, which helps to visualize the material and consolidate the knowledge gained. This makes the book not only informative, but also fascinating to read. If you are looking for literature that will help you master image processing and machine vision, then “Image processing and analysis in machine vision tasks” is exactly what you need. This book will be a great addition to your library, as well as a valuable source of knowledge that will help you not only in your studies, but also in your practical activities. Do not miss the opportunity to deepen your knowledge and expand your horizons in the exciting world of computer vision!