The student will have to:

– know the fundamental concepts and algorithms of image and digital video processing and be able to understand the technological innovations that can refer to base algorithms.

– Know to process and transform a digital image.

– Know to use Python programming language.

– Knot to analyse an artificial Vision problem and propose a possible solution.

Knowledge and comprehension

– Acquire specific knowledge of the principal concepts and theoretical basics of the image processing and artificial Vision.

– Know how to use the Python language in order to implement artificial Vision algorithms.

Capability to apply knowledge and comprehension

– Know to analyse and to understand an image processing algorithm.

– Know to analyse and interpret an Artificial Vision problem and to apply the aforementioned knowledge to split it in sub problems.

– Design the logic architecture of an Artificial Vision system for real problems.

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Autonomy of judgement

– Know how to evaluate the computer Vision algorithm and make a personal choice about the most proper algorithm for solving a given problem.

– Know to distinguish among different Artificial Vision solution by evaluating their performance.

Communication skills

– Know how to explain, both written and orally, the techniques related to algorithm and systems of artificial Vision with proper logic and terminology.

Learning skills

– Know how to retrieve and use bibliographic and digital instruments useful for the personal investigation of problems related image processing and artificial Vision.