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Nonreference Medical Image Edge Map Measure
Joint Authors
Gao, Chen
Agaian, Sos S.
Nercessian, Shahan
Panetta, Karen
Source
International Journal of Biomedical Imaging
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Edge detection is a key step in medical image processing.
It is widely used to extract features, perform segmentation, and further assist in diagnosis.
A poor quality edge map can result in false alarms and misses in cancer detection algorithms.
Therefore, it is necessary to have a reliable edge measure to assist in selecting the optimal edge map.
Existing reference based edge measures require a ground truth edge map to evaluate the similarity between the generated edge map and the ground truth.
However, the ground truth images are not available for medical images.
Therefore, a nonreference edge measure is ideal for medical image processing applications.
In this paper, a nonreference reconstruction based edge map evaluation (NREM) is proposed.
The theoretical basis is that a good edge map keeps the structure and details of the original image thus would yield a good reconstructed image.
The NREM is based on comparing the similarity between the reconstructed image with the original image using this concept.
The edge measure is used for selecting the optimal edge detection algorithm and optimal parameters for the algorithm.
Experimental results show that the quantitative evaluations given by the edge measure have good correlations with human visual analysis.
American Psychological Association (APA)
Panetta, Karen& Gao, Chen& Agaian, Sos S.& Nercessian, Shahan. 2014. Nonreference Medical Image Edge Map Measure. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-509155
Modern Language Association (MLA)
Panetta, Karen…[et al.]. Nonreference Medical Image Edge Map Measure. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-509155
American Medical Association (AMA)
Panetta, Karen& Gao, Chen& Agaian, Sos S.& Nercessian, Shahan. Nonreference Medical Image Edge Map Measure. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-509155
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509155