Image Processing & Analysis (Plus)

Most people are familiar with the concept of processing an image to improve its quality or the use of image analysis software tools to make basic measurements, but what are the ideas behind such solutions? Why is knowledge of these concepts important in developing successful computer vision applications? This module will answer these questions by focusing on both the theoretical, mathematical and practical issues associated with a wide range of computer vision solutions.

This module will concentrate on helping students to develop the fundamental skills necessary to design, develop and understand a wide range of basic imaging processing (image to image), image analysis (image to feature), image classification (feature to decision), performance characterisation (data to quantitative performance indicators) and computer vision (image to interpretation) solutions. All solutions have limitations and a key element of this module is to focus on how to approach the design, testing and evaluation of successful computer vision applications within an engineering framework. This module will make extensive use of an image analysis development environment to reinforce all the issues covers during the lectures.

Upon successful completion of this micro-credential students will be able to:

• Recall, review and analyse the essential theories, algorithms, methodologies and techniques involved in basic and advanced computer vision.
• Illustrate their ability to comprehend and interpret issues relating to the design of image processing & analysis techniques.
• Synthesize and evaluate the relevant merits of competing computer vision techniques.
• Apply computer vision techniques in a range of application scenarios.
• Develop an understanding of the engineering issues involved in the commercial development of image processing and analysis solutions.

A Primary Honours degree, Level 8 in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Sciences or other Cognate/Engineering Disciplines. Applications are also invited from diverse educational and/or employment backgrounds, with applications evaluated on a case-by-case basis. 

And also to indicate the required documentation:

• Please provide Academic Transcripts for final year of study where appropriate (English translation)
• All applicants must submit a copy of their passport
• Please upload a CV

If applicable, evidence of competence in the English language as per DCU entry requirements.  Please see here.