Krasheninnikov, V. R. Statistical methods of image processing : a textbook

Krasheninnikov, V. R. Statistical methods of image processing : a textbook

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LF/958898908/R
Russian
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The book "Statistical methods of image processing: a textbook" under the authorship of a team of authors, including B. R. Krasheninnikov is a unique work that immerses the reader in the world of modern image processing technologies. This manual will become an indispensable assistant for students, graduate students and specialists working in the field of computer science, information technology, as well as for anyone interested in statistical methods and their application in data visualization. In today's world, where visual information plays a key role, the ability to properly process and analyze images is becoming a necessary skill. The book covers a wide range of topics, ranging from the basics of statistics to complex image processing algorithms. The reader will be able to learn about filtering methods, segmentation, pattern recognition and much more. Each section is written taking into account both theoretical aspects and practical examples, which makes it easy to digest the material and apply it in practice. Who can like this tutorial? First of all, it will be useful for technical students studying computer science, mathematics and statistics . The book will also interest graduate students and researchers working in the field of machine learning and artificial intelligence. Practitioners engaged in image processing in areas such as medicine, biometrics, or automation will also find much useful information in this manual. One of the key topics of the book is the application of statistical methods to solve practical problems. The authors examine in detail how statistics can help in improving the quality of images, as well as in their analysis and interpretation. This makes the book particularly relevant in light of the growing popularity of big data and its visualization. Interestingly, the manual also discusses modern approaches to image processing using machine learning methods, which opens up new horizons for readers who want to deepen their knowledge in this field. The style of the authors can be described as accessible and understandable, which makes it easy to assimilate even the most complex concepts. The book is filled with examples from real practice, which makes it not only theoretically sound, but also practically useful. This guide not only educates but also inspires further research and experimentation in image processing. If you are looking for literature that will help you master statistical methods of image processing, then this tutorial will be a real find for you. It will not only expand your knowledge, but also give you the opportunity to apply the acquired skills in real projects. In a world where visual information is becoming increasingly important, the ability to work with images is not just an advantage, but a necessity. In conclusion, “Statistical Image Processing Techniques: A Tutorial” is not just a book, but a whole world of possibilities for those who want to immerse themselves in the exciting world of image processing. Read, explore and discover new horizons with this unique work!
LF/958898908/R

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Name of the Author
Collective of authors
Language
Russian
ISBN
9785979514512

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Krasheninnikov, V. R. Statistical methods of image processing : a textbook

The book "Statistical methods of image processing: a textbook" under the authorship of a team of authors, including B. R. Krasheninnikov is a unique work that i...

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