This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data.
Topics and features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics, with the necessary basics covered in an appendix; presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website; concludes each chapter with pointers to additional concepts, methods and details not covered in the book; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.