This subject explores major image processing and analysis techniques. These days, image information availability is growing and adequate techniques and methods are needed to process and analyse the relevant information for this data type.
This course will stress morphological processing and analysis, which is particularly useful for image processing and analysis systems because it can satisfactorily account for image structure patterns within a sound and elegant formal framework based, above all, on set and lattice theory.
This subject will address both the filtering and the region of interest analysis and segmentation phases, discussing their distinctive features.
This subject will deal with algorithmic and implementation-related issues of some operators and techniques, examining efficient implementations. The use of queuing algorithms will be examined. Aspects of data structures, formats and storage will be commented.
The weight of Assignment 5 (Presentation and Report) is 15 %. The weight of the written or oral exam is: 10 %.
Normal evaluation in January:
(1) Assignments, and (2) written or oral exam. It is necessary to pass both parts to successfully pass the course.
Extraordinary evaluation period in July:
(1) Assignments, and (2) written or oral exam as in the normal evaluation period. It is necessary to pass both parts to successfully pass the course.
|SSC7||Evaluation and application of diverse mathematical and statistical theories, and available knowledge extraction and discovery processes, methods and techniques for large data volumes||3|
|SSC8||Application of the theoretical and mathematical foundations of heterogeneous functions and data processing and analysis and evaluation and design of related methods for application in practical domains||4|
|Code||Learning Outcome||Associated competences||Proficiency level|
|RA-APDI-8||Understand the theoretical foundations of image data processing and analysis||SSC7,SSC8||3|
|RA-APDI-9||Be able to apply and comparatively evaluate image processing techniques considering their efficient implementation and be familiar with image data warehousing system problems||SSC7,SSC8||4|
|RA-APDI-10||Be able to apply and comparatively evaluate image processing methods for segmenting regions of interest and obtaining characteristic parameters, considering their efficient implementation||SSC7,SSC8||4|
Subject learning guide for Image Processing and Analysis