A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Point pattern matching algorithm invariant to geometrical transformation and distortion
Pattern Recognition Letters
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Robust iris indexing scheme using geometric hashing of SIFT keypoints
Journal of Network and Computer Applications
Classification of mycobacterium tuberculosis in images of ZN-stained sputum smears
IEEE Transactions on Information Technology in Biomedicine
Visual positioning of previously defined ROIs on microscopic slides
IEEE Transactions on Information Technology in Biomedicine
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We address the location of regions-of-interest in previously scanned sputum smear slides requiring re-examination in automated microscopy for tuberculosis (TB) detection. We focus on the core component of microscope auto-positioning, which is to find a point of reference, position and orientation, on the slide so that it can be used to automatically bring desired fields to the field-of-view of the microscope. We use virtual slide maps together with geometric hashing to localise a query image, which then acts as the point of reference. The true positive rate achieved by the algorithm was above 88% even for noisy query images captured at slide orientations up to 26^o. The image registration error, computed as the average mean square error, was less than 14pixel^2 (corresponding to 1.02@mm^2). The algorithm is inherently robust to changes in slide orientation and placement and showed high tolerance to illumination changes and robustness to noise.