Embedded Digital Image Processing with Microcontrollers

Applications on STM32 Development Boards
Erscheinungsjahr 2026
ISBN: 978-3-032-35501-0
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 481 Seiten, Format (B × H): 155 mm x 235 mm

This textbook introduces basic and advanced embedded digital image processing methods through practical applications on STMicroelectronics STM32 development boards. This hands-on text covers traditional and neural-network-based digital image processing methods implemented on microcontrollers and is designed for undergraduate courses in microcontroller and embedded digital image processing systems. Following the learning-by-doing approach, the book will enable students to grasp embedded digital image processing concepts through real-world examples, providing them with the design and implementation skills needed for a competitive job market. By using a programming environment that enables students to easily access and modify microcontroller properties, the material enables rapid implementation of the developed system. Students are guided in implementing digital image processing methods that are deployed and tested on microcontrollers throughout the book, with the underlying theory also emphasized. Sample codes are available for download for both readers and instructors. Additionally, this book serves as an excellent reference for practicing engineers and electronics hobbyists.

• Teaches the embedded digital image processing system design skills needed for today’s job market;

• Follows the learning-by-doing approach and provides illustrated examples and projects;

• Explores practical applications on STM boards and introduces the TensorFlow Lite Micro platform;

• Includes a GitHub repository with code, libraries, and examples.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Ünsalan, Cem

Durgut, Ozan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Introduction.- Hardware to Be Used in the Book.- Software to Be Used in the Book.- Introduction to Digital Image Processing.- Image Acquisition via Digital Camera.- Image Display on LC.- Pixel Based Operations on Images.- Filtering the Image in Spatial Domain.- Filtering the Image in Frequency Domain.- From Pixels to Objects.- Morphological Image Processing.- Fundamentals of Neural Networks.- Embedding the Neural Network Model to the Microcontroller.- Convolutional Neural Networks.- Neural Networks Based Image Segmentation.

Über Autor(innen)

Cem Ünsalan, PhD, has been a full professor in the Department of Electrical and Electronics Engineering at Yeditepe University since 2013. He was the Dean of the Faculty of Engineering at the same university. Dr. Ünsalan also worked as a full professor in the Department of Electrical and Electronics Engineering at Marmara University, Turkey, between 2017 and 2023. He served as the department head there for four years. Dr. Ünsalan received his BSc (1995) from Hacettepe University, Turkey; his MSc from Bogazici University, Turkey (1998); and his PhD (2003) from The Ohio State University, USA. Dr. Ünsalan has published four books on microcontrollers and FPGA systems. The two microcontroller books are on Texas Instrument’s MSP430 and MSP432 architecture. The third book is on ARM Cortex M microcontrollers. The FPGA book is on Xilinx’s Artix7 FPGA chip. All these books aim to introduce basic embedded system concepts through practical applications. He has also published books on computer vision and image understanding.

Ozan Durgut  is an Embedded Linux Engineer at Analog Devices. He is also pursuing his MSc degree in Communications and Electronics Engineering at the Technical University of Munich, Germany. Durgut received his BSc degree in Electrical and Electronics Engineering from Marmara University, Türkiye, in 2024, where he graduated as valedictorian of his class. His research interests include image processing and computer vision, with a particular focus on resource-constrained embedded platforms. He received the IEEE Young Researchers Best Paper Award in 2024.