DocumentCode
1118546
Title
A Gestalt-Guided Heuristic Boundary Follower for X-Ray Images of Lung Nodules
Author
Sankar, P.V. ; Sklansky, J.
Author_Institution
School of Engineering, University of California, Irvine, CA 92717.
Issue
3
fYear
1982
fDate
5/1/1982 12:00:00 AM
Firstpage
326
Lastpage
331
Abstract
A ``piecewise heuristic´´ follower of the boundaries of difficult-to-notice nonoverlapping blobs in digitized images is described. The technique was tested on 324 X-ray images of candidate lung nodules from eight radiographs with good results. This technique is several times faster than earlier detectors of the boundaries of lung nodules, while maintaining good fidelity of the detected boundaries.
Keywords
Cancer detection; Dynamic programming; Image edge detection; Lungs; Microcomputers; Pixel; Radiography; X-ray detection; X-ray detectors; X-ray imaging; Boundary follower; X-ray; circle detection; computational complexity; dynamic programming; edge detection; gestalt; heap data structure; heuristic search; image processing; lung nodule; pattern recognition; tumor;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1982.4767253
Filename
4767253
Link To Document