Model-based image processing and analysis for fracture classification

Autor:	K. Yang, D. Dirschl, Misha Pavel, Adriana M. Adami, Xubo Song
Rok vydání:	2003
Předmět:	Set (abstract data type) Surface (mathematics) Contextual image classification business.industry Computer science Medical imaging Fracture (geology) Image processing Computer vision Artificial intelligence Image segmentation business 3D modeling
Zdroj:	Scopus-Elsevier
DOI:	10.1109/iembs.2002.1053408
Popis:	We describe an approach toward improved classification of fractures in the vicinity of ankle joints using image-specific image enhancement and 3D modeling. The enhancement approach is based on the development of a set of linear features from X-ray images. The 3D models of fractures are used to determine the X-ray image representation from a fractured surface. These models are then used in reverse to find surface parameters that are most consistent with the 2D fracture representations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f411437c74bc87cae96954a7b940038 https://doi.org/10.1109/iembs.2002.1053408 Zobrazit plný text záznamu