Feature Extraction From Images of Buildings Using Edge Orientation and Length
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
To extract information from a scene captured in digital images where the information represents some kind of feature is an important process in image analysis. Both the speed and the accuracy for this process is very important since many of the analysis applications either require analysis of very large data sets or requires the data to be extracted in real time. Some of those applications could be 2 dimensional as well as 3 dimensional object recognition or motion detection. What this work will focus on is the extraction of salient features from scenes of buildings, using a joint histogram based both the edge orientation and the edge length to aid in the extraction of the relevant features. The results are promising but will need some more refinement work to be used successfully and is therefore quite a bit of reflected theory.
Place, publisher, year, edition, pages
2012. , 33 p.
Feature Extraction, Edge Detection, Joint Histogram
IdentifiersURN: urn:nbn:se:hig:diva-12510OAI: oai:DiVA.org:hig-12510DiVA: diva2:542410
Subject / course