An Image Registration Method for Colposcopic Images

Efrén Mezura-Montes,Rodolfo Hernández-Jiménez,Nicandro Cruz-Ramírez,Darío-Del-Sinaí Ramírez-Garcés,Héctor-Gabriel Acosta-Mesa

doi:10.1155/2013/285962

Efrén Mezura-Montes, Rodolfo Hernández-Jiménez + Show 3 more

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https://doi.org/10.1155/2013/285962

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Abstract

A nonrigid body image registration method for spatiotemporal alignment of image sequences obtained from colposcopy examinations to detect precancerous lesions of the cervix is proposed in this paper. The approach is based on time series calculation for those pixels in the first image of the sequence and a division of such image into small windows. A search process is then carried out to find the window with the highest affinity in each image of the sequence and replace it with the window in the reference image. The affinity value is based on polynomial approximation of the time series computed and the search is bounded by a search radius which defines the neighborhood of each window. The proposed approach is tested in ten 310-frame real cases in two experiments: the first one to determine the best values for the window size and the search radius and the second one to compare the best obtained results with respect to four registration methods found in the specialized literature. The obtained results show a robust and competitive performance of the proposed approach with a significant lower time with respect to the compared methods.

Highlights

Image registration is the process of overlaying two or more images of the same scene taken at different times, from different points of view or by different sensors
The proposed approach is tested in ten 310-frame real cases in two experiments: the first one to determine the best values for the window size and the search radius and the second one to compare the best obtained results with respect to four registration methods found in the specialized literature
A novel image registration method for spatiotemporal alignment of image sequences obtained from colposcopy examinations to detect precancerous lesions of the cervix, called Temporal method, was proposed in this paper

Summary

Introduction

Image registration is the process of overlaying two or more images of the same scene taken at different times, from different points of view or by different sensors Such process geometrically aligns two images (the reference and sensed images) and it is applied in different areas such as remote sensing, medicine, cartography, and computer vision [1]. The selection of the most suitable method is dependent on the particular problem, the computational complexity of the evaluation criterion, and depends on the desired precision of the results [1, 2, 4, 5] Approximated approaches such as evolutionary algorithms and metaheuristics have been adopted, mainly in the medical domain [6]

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