Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: THEend8_
INSTITUTE FOR SUSTAINABLE HERITAGE
MSc Data Science for Cultural Heritage
Module BENV0113: Heritage Imaging (15 credits)
Coursework: HERITAGE IMAGING
Overview
You are asked to demonstrate your expertise in some aspect of imaging or image analysis
applied to heritage. You can choose how you would like to demonstrate this expertise.
Examples include:
(1) You can acquire images (e.g, photography, photogrammetry) and be assessed on
the quality of the image capture and subsequent image processing. You will need to
demonstrate expertise in some form of quantitative image analysis (e.g. colour
correction, calibration of scale, image registration, image segmentation, etc).
(2) You can obtain images from elsewhere (even the internet) and devise a procedure
for calibrating and analysing them. For example, you might look at the variation in colour
for multiple images of a particular objects, or you might register images of the same
object taken from different angles, or taken at different times to look for degradation.
(3) We can provide you with a dataset, for example from multispectral or hyperspectral
imaging.
You will be expected to demonstrate the ability to assess image quality, perform realistic image
analysis, describe relevant heritage applications and relate your work to published literature.
Some tips:
Discuss your choice of image and image acquisition with the module organiser
Choose appropriate image analysis software (e.g. ImageJ, Matlab, Python) and
demonstrate some expertise
Show that you understand the relationship between the image and the image quality,
and the image processing that can be appropriately performed upon it.
Demonstrate your understanding of relevant literature by citing appropriate works by
other researchers.
Please note that this coursework contributes 100% of your grade for this module and you
are nominally expected to spend about 80 hours on it.
Word length and document structure
We strongly suggest that you use the Latex template that you have used earlier. Details here.
The length will be calculated automatically by the Latex template and printed on the front page.
This should not exceed 2500 words. This word limit includes the abstract, main text,
references, titles and subtitles, footnotes and tables, but not figures. Any computer code or
similar can be included as an 'additional file submission' and will not count towards the word
length. Penalties for over-length coursework are given in the Handbook.