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Anatomical sketch segmentation : local refinement method

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dc.contributor.author Phatthanaphong Chomphuwiset en_US
dc.date.accessioned 2015-01-12T10:40:34Z
dc.date.available 2015-01-12T10:40:34Z
dc.identifier.other AIT Thesis no.CS-06-05 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/338
dc.description Pathum Thani, Thailand : Asian Institute of Technology, 2006 en_US
dc.description 74 p. : ill. en_US
dc.description.abstract Sketching is ubiquitous in medicine. Physicians commonly use sketches as part of their note taking in patient records and to help convey diagnoses and treatments to patients. Medical students frequently use sketches to help them think through clinical problems in individual and group problem solving. Applications ranging from automated patient records to medical education software could benefit greatly from th e richer and more natural interfaces that would be enabled by the ability to understand sketches. Understanding an anatomical sketch requires the ability to recognize what anatomical structure has been sketched, as well as to identify the anatomical parts and their locations in the sketch, even if the sketch is not to proportion and even if the parts have not been explicitly drawn. This thesis addresses the problem of identifying the anatomical parts, assuming that the structure has already been recognized. Previous work on this problem applied Shape Context based template matching along with thin plate spline global transformatio n applied to the template. We improve upon the previous work by using robust point matching with local refinement. The new technique results in a closer match between the template and sketch than the previous technique.
dc.relation.ispartof Thesis no. CS-06-05 en_US
dc.relation.ispartof Asian Institute of Technology. Thesis no. CS-06-05 en_US
dc.subject Human anatomy -- Drawing -- Computer programs en_US
dc.title Anatomical sketch segmentation : local refinement method en_US
dc.type Thesis en_US

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