
Sensorial Systems
Code
7477
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Engenharia Electrotécnica
Credits
6.0
Teacher in charge
José Manuel Matos Ribeiro da Fonseca
Weekly hours
4
Total hours
60
Teaching language
Português
Objectives
To endow the pupils with knowledge on characteristics and applications of sensors of diverse types and to deepen their knowledge about image processing.
Prerequisites
Basic knowledge in Electric Circuits Theory, Eletronics and Programming languages, namely, C or C# (C sharp) are recommended.
Subject matter
Sensors technology: principles of functioning, acquisition of information, models, analysis of cases (sensors of presence and proximity, force and contact, temperature).
Ultrasounds Sensors: characteristics, processing of low-level sensorial information, feature extraction.
Image processing: from pixels to features, operations over images, segmentation, object detection, feature extraction, measures, analysis of applications.
Bibliography
Interfacing sensors to the IBM PC, Willis J. Tompkins, John G. Webster, Prentice Hall
Multi-sensor fusion - fundamentals and applications with software, Richard Brooks, S. Iyengar. Prentice Hall
Digital Image Processing. Rafael Gonzalez, Paul Wintz. Addison-Wesley
Image Analysis: principles and practice, pp. 36 a 36 e 106 a 117. Joyce-Loebl
Digital Image Processing and Computer Vision, pp. 130 a 173. Robert Schalkoff
Fuzzy Algorithms, pp. 85 a 93, Zheru Chi, Hong Yan, Tuan Pham. Worls Scientific, Fuzzy Clustering
Computer Graphics - Principles and Practice, pp. 550 a 555. Foley, van DAM, Feiner, Hughes. Addison-Wesley
Teaching method
Theoretical classes for presentation of the basic concepts and practical classes for the development of small exercises that explore the underlying concepts.
The practical classes will be based on guidelines previously provided to guide the students in the preparation of the practical exercises.
Evaluation method
Evaluation method:
Final Grade = TG * 0,6 + ( PPG1 *0,8 + PPG2 * 0,2 ) * 0,4 Observations:
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