Document Detail


Edge-detector resolution improvement by image interpolation.
MedLine Citation:
PMID:  22516637     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Most step-edge detectors are designed to detect locally straight edge-segments which can be isolated within the operator kernel. While it can easily be demonstrated that a cross-sectional support of at least 4 pixels is required for the unambiguous detection of a stepedge, edges which cannot be isolated within windows having this width can nevertheless be resolved. This is achieved by preceding the stepedge detection process by image-intensity interpolation. Although resolution can be improved in this fashion, the step-edge position and intensity estimates thus determined may be subject to systematic biases. Also, the higher resolution performance is accompanied by lower robustness to noise.
Authors:
V S Nalwa
Related Documents :
22355647 - Bringing the real world into the fmri scanner: repetition effects for pictures versus r...
21971637 - Comparison of anti-scatter grids for digital imaging with use of a direct-conversion fl...
22298247 - Super-resolution methods in mri: can they improve the trade-off between resolution, sig...
15466727 - Indications for magnetic resonance imaging in presumed adolescent idiopathic scoliosis.
23681757 - Evaluation of [(18)f]-cp18 as a pet imaging tracer for apoptosis.
2012317 - Fiducial points for three-dimensional computer-assisted reconstruction of serial light ...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on pattern analysis and machine intelligence     Volume:  9     ISSN:  0162-8828     ISO Abbreviation:  IEEE Trans Pattern Anal Mach Intell     Publication Date:  1987 Mar 
Date Detail:
Created Date:  2012-04-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9885960     Medline TA:  IEEE Trans Pattern Anal Mach Intell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  446-51     Citation Subset:  -    
Affiliation:
Artificial Intelligence Laboratory, Stanford University, CA 94305.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Forward/Backward contour tracing with feedback.
Next Document:  A robust filtering algorithm for subpixel reconstruction of chain coded line drawings.