Multi-sensor image registration using edge-enhanced maximally stable extremal region

Multi-sensor image registration using edge-enhanced maximally stable extremal region

Image registration is an important topic in computer vision and many techniques have been developed. But when it comes to the multi-sensor images, intensity-based global methods often achieve poor results. In this paper, we propose an edge-enhanced maximally stable extremal region method (E-MSER) to...

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Hauptverfasser: Li Liu, Hongya Tuo, Tao Xu, Zhongliang Jing
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Sprache:eng
Schlagworte:
Accuracy
Detectors
E-MSER
Feature extraction
Image edge detection
Image registration
MSER
Multi-sensor
Performance evaluation
Robustness
Vectors
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Hongya Tuo
Tao Xu
Zhongliang Jing
description Image registration is an important topic in computer vision and many techniques have been developed. But when it comes to the multi-sensor images, intensity-based global methods often achieve poor results. In this paper, we propose an edge-enhanced maximally stable extremal region method (E-MSER) to improve the registration performance of multi-sensor images. It is obtained by combining edge enhancement with maximally stable extremal region (MSER) detector. Thus the region features can maintain stability through the changing image intensities. Criteria including matching score, repeatability, recall, precision and root-mean-square error (RMSE) are used for evaluation. Experiment results show that E-MSER outperforms other detectors with its registration accuracy reaching pixel-level.
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subjects Accuracy
Detectors
E-MSER
Feature extraction
Image edge detection
Image registration
MSER
Multi-sensor
Performance evaluation
Robustness
Vectors
title Multi-sensor image registration using edge-enhanced maximally stable extremal region
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