Abstract
In binary image processing, digital erosion has been used successfully for the removal of small sporadic elements from images, at the sacrifice of losing edge detail in objects of interest. Typically an erosion operation is followed by a dilation process generating the familiar opening operation. This step, which attempts to restore the original edge information, works well in many applications where the edge detail of the original object is unimportant. In this paper a conditional digital erosion operation designed specifically for the processing of inherently noisy magnetic resonance (MR) images of the lower spine is presented. This operation in essence preforms a test for the removal of entire objects prior to the erosion. The method was applied to edge enhanced images and resulted in the elimination of edges of insufficient span, regardless of their thickness or absolute length. The developed method has proven useful for the removal of sporadic noise, and the retention of small anatomic edge boundaries in edge enhanced MR images of the lower spine. The results of images processed with the operator favorably compare with those obtained from morphological (Minkowski) open and close operations.
Original language | English (US) |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Editors | Paul D. Gader |
Publisher | Publ by Int Soc for Optical Engineering |
Pages | 186-192 |
Number of pages | 7 |
Volume | 1350 |
State | Published - 1990 |
Event | Image Algebra and Morphological Image Processing - San Diego, CA, USA Duration: Jul 10 1990 → Jul 12 1990 |
Other
Other | Image Algebra and Morphological Image Processing |
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City | San Diego, CA, USA |
Period | 7/10/90 → 7/12/90 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics