Erosion band signatures for spatial extraction of features

We introduce Erosion Band Signatures (EBS), which are a codification of the spatial coherence of features extracted from a region. This coherence is often lost in traditional global and local feature extraction methods, thereby diminishing a feature’s discriminative strength. The erosion band signat...

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Veröffentlicht in:Machine vision and applications 2013-05, Vol.24 (4), p.695-705
Hauptverfasser: Vazquez, Eduard, Yang, Xiaoyun, Slabaugh, Greg
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container_title Machine vision and applications
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creator Vazquez, Eduard
Yang, Xiaoyun
Slabaugh, Greg
description We introduce Erosion Band Signatures (EBS), which are a codification of the spatial coherence of features extracted from a region. This coherence is often lost in traditional global and local feature extraction methods, thereby diminishing a feature’s discriminative strength. The erosion band signature is generated through iterative erosions of the region of interest, forming what we call erosion bands . Features are then extracted from each band and accumulated in a specific order to form the EB signature, which preserves spatial information of the features. To demonstrate the versatility of EBS, we have implemented the method in two very different applications: polyp detection and region-based head tracking. In polyp detection, EBS provides an effective way to characterize spatial differences between the perimeter and core of a polyp candidate, and improves a state-of-the-art computer-aided detection method with an improved 27.6% reduction of false positives. We also apply EBS analysis to region-based tracking yielding a very clear improvement in both robustness and accuracy.
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subjects Applied sciences
Artificial intelligence
Codification
Coherence
Communications Engineering
Computer Science
Computer science
control theory
systems
Data processing. List processing. Character string processing
Erosion
Exact sciences and technology
Extraction
Feature extraction
Image Processing and Computer Vision
Iterative methods
Memory organisation. Data processing
Networks
Original Paper
Pattern Recognition
Pattern recognition. Digital image processing. Computational geometry
Preserves
Reduction
Signatures
Software
Spatial data
Tracking
Vision systems
title Erosion band signatures for spatial extraction of features
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