10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97)
A neural network based integrated image processing environment for object recognition in medical applications
Maribor, SLOVENIA
March 11-March 13
ISBN: 0-8186-7928-X
The paper outlines an integrated image processing environment that uses neural networks for object recognition and classification. The image processing environment which is Windows based, encapsulates a multiple-document interface (MDI) and is menu driven. Object (shape) parameter extraction is focused on features that are invariant in terms of translation, rotation and scale transformations. The neural network models incorporated into the environment allow both clustering and classification of objects from the analysed image. Mapping neural networks perform input sensitivity analysis on the extracted feature measurements and thus facilitates the removal of irrelevant features and improvements in the degree of generalisation.
Index Terms:
medical image processing; neural network based integrated image processing environment; object recognition; medical applications; object classification; Windows-based image processing environment; multiple-document interface; menu driven image processing environment; object parameter extraction; translation; rotation; scale transformations; object clustering; mapping neural networks; input sensitivity analysis; extracted feature measurements; irrelevant feature removal; generalisation; analysed image
Citation:
J.A. Ware, I. Ciuca, "A neural network based integrated image processing environment for object recognition in medical applications," cbms, pp.149, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997