TITLE:
Matching DSIFT Descriptors Extracted from CSLM Images
AUTHORS:
Stefan G. Stanciu, Dinu Coltuc, Denis E. Tranca, George A. Stanciu
KEYWORDS:
Local Features; Local Descriptors; Feature Matching; SIFT; CSLM
JOURNAL NAME:
Engineering,
Vol.5 No.10B,
October
31,
2013
ABSTRACT: The matching of local descriptors represents at this
moment a key tool in computer vision, with a wide variety of methods designed
for tasks such as image classification, object recognition and tracking, image
stitching, or data mining relying on it. Local feature description techniques
are usually developed so as to provide invariance to photometric variations
specific to the acquisition of natural images, but are nonetheless used in
association with biomedical imaging as well. It has been previously shown that
the matching of gradient based descriptors is affected by image modifications
specific to Confocal Scanning Laser Microscopy (CSLM). In this paper we extend
our previous work in this direction and show how specific acquisition or
post-processing methods alleviate or accentuate this problem.