The book "Statistical analysis of images" under the authorship of a team of authors headed by K. K. Vasilyev, is a unique and in-depth study in the field of image processing, which will be of interest to both specialists and those who are just beginning to get acquainted with this fascinating topic. This publication can become a reference book for students, graduate students and researchers working in areas such as computer vision, machine learning, as well as for anyone interested in modern methods of data analysis. The book explores in detail the statistical analysis techniques applied to images, allowing readers to understand how to extract useful information from visual data. The author team shares their experience and knowledge, explaining how statistical methods can be used to solve practical problems related to image processing. Readers will learn about different approaches to image analysis, such as signal processing, machine learning algorithms, and data visualization techniques. Each section of the book is filled with practical examples and illustrations, which makes the material accessible and understandable. Who can like this book? First of all, it will be useful for technical students studying computer science, mathematics and physics . It will also interest researchers working in the field of artificial intelligence and computer vision, as well as specialists engaged in data analysis in various industries, from medicine to marketing. If you are passionate about new technologies and want to expand your knowledge of how to process and analyze images, this book will be an excellent choice. The topics raised in "Statistical Image Analysis" cover a wide range of issues, including methods of filtering, segmentation, classification, and object recognition. The book also addresses important aspects such as image quality, the impact of noise and distortion on analysis results, and methods to improve the accuracy and reliability of statistical findings. These topics are not only relevant, but also extremely important in today's world, where visual information plays a key role in decision-making. The style of the author and his team is distinguished by clarity and consistency, which allows the reader to easily assimilate complex concepts. K. K. Vasiliev and his colleagues use accessible language and illustrative examples, which makes the book not only useful, but also fascinating to read. This edition can be a great addition to the library of anyone who is interested in modern technologies and their application in real life. If you are looking for books on statistical analysis, image processing or machine learning, Statistical Image Analysis will be a real find for you. This edition will not only expand your knowledge, but also inspire new ideas and projects. In a world where visual data is becoming increasingly important, understanding how to analyze it opens up new horizons and opportunities. Do not miss the chance to immerse yourself in this fascinating world with the book K. K. Vasilyeva and his colleagues!