Javascript must be enabled for the correct page display

The use of fuzzy spatial and geometrical relations in a visual recognition system based on deformable templates

Gerrits, I. (1997) The use of fuzzy spatial and geometrical relations in a visual recognition system based on deformable templates. Master's Thesis / Essay, Computing Science.

Infor_Ma_1997_IHGerrits.CV.pdf - Published Version

Download (2MB) | Preview


This is a research for the use of fuzzy spatial and geometrical relations in a visual recognition system. Without fuzzy spatial and geometrical relation it is only possible to make a visual recognition system starting from a good image quality, which is practically impossible with currently recording techniques. The application of the visual recognition system is to locate the vertebrae in Xray images of scoliosis patients. Scoliosis isa lateral curvature of the spine, which is normally straight. In these X-ray images the vertebrae are not clearly visualised, i.e. edges are not sharp defined, some vertebrae are even not visible and vertebrae who arc visible do not have the same light intensity. In spite of this bad quality it is not difficult for a physician to locate the vertebrae. A physician is able, owing to his prior knowledge to make a good estimate of the position of these vertebrae. The aim of our research is to automate this process. A human approach is used for the system, which means that not only the question what prior knowledge does a physician use is asked, but also the question what do we see in these images. The prior knowledge can be formulated by fuzzy sets. These fuzzy sets defines the relations between vertebrae of the spine, such as likely deviation in direction and position. By combining fuzzy set theory with a visual recognition system one can try to analyse X-ray images like physicians can do. Below a simple model of object recognition in the human visual system is scheduled. This model exist of five successive phases. Initial when the image is presented there is chaos, then edges of object are located and labelled by importancy. Objects arc build from these important edges by using our prior knowledge. In this process we can make mistakes, but due to the prior knowledge we are able to correct these mistakes if the constructed objects does not fit to the expected one. The artificial visual recognition system is build similar to these successive phases. The visual recognition system is tested on several images. Results indicate that in all these images the system is able to locate the vertebrae.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:29
Last Modified: 15 Feb 2018 07:29

Actions (login required)

View Item View Item