Image Processing using Python

Deskripsi

Image Processing using Python for International Student is designed as both a practical guide and academic reference to help readers understand the fundamentals and applications of digital image processing with Python. Image processing is an essential field in computer science, widely applied in areas such as medical imaging, security systems, artificial intelligence, and the creative industry.

This book introduces core concepts of digital image processing, including image representation, color transformations, filtering, edge detection, segmentation, and pattern recognition. Each topic is accompanied by hands-on implementation using Python and popular libraries such as OpenCV, NumPy, and Matplotlib, allowing readers to directly practice the concepts through clear and accessible code examples.

Structured as a textbook, the content is enriched with learning objectives, visual illustrations, case studies, and exercises at the end of each chapter. The communicative writing style makes it accessible not only to computer science and engineering students but also to international learners from diverse backgrounds who wish to acquire practical skills in image processing.

Intended for students, lecturers, researchers, and practitioners, this book provides essential knowledge to bridge theory and practice. Through this text, readers are expected to develop analytical skills for visual data, build intelligent applications, and gain a deeper understanding of the role of image processing in today’s digital world.