CURVATURE SENSITIVE FILTER AND ITS APPLICATION IN MICROFOSSIL IMAGE CHARACTERIZATION

Authors
OAKLEY JP SHANN RT
Citation
Jp. Oakley et Rt. Shann, CURVATURE SENSITIVE FILTER AND ITS APPLICATION IN MICROFOSSIL IMAGE CHARACTERIZATION, Image and vision computing, 14(3), 1996, pp. 237-241
Citations number
1
Categorie Soggetti
Computer Sciences, Special Topics",Optics,"Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
Journal title
Image and vision computing → ACNP
ISSN journal
02628856
Volume
14
Issue
3
Year of publication
1996
Pages
237 - 241
Database
ISI
SICI code
0262-8856(1996)14:3<237:CSFAIA>2.0.ZU;2-I
Abstract
A new class of oriented, curvature sensitive filters is introduced. Th ese filters provide a low-level detection facility for noisy curves wi thout a prior edge extraction state, and are used here to characterise images of Carboniferous Foraminifers (a type of microfossil viewed in plane rock sections). A model for the performance of the filter in th is application is described. This model uses a synthetic image with ad ditive, spatially correlated, Gaussian noise to give predictions of se nsitivity and specificity for the algorithm. These predictions are com pared with results from actual images.