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11 May 2018 Region-based multifocus image fusion for the precise acquisition of Pap smear images
Santiago Tello-Mijares, Jesús Bescós
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Journal of Biomedical Optics, Vol. 23, Issue 5, 056005 (May 2018). https://doi.org/10.1117/1.JBO.23.5.056005
Abstract
A multifocus image fusion method to obtain a single focused image from a sequence of microscopic high-magnification Papanicolau source (Pap smear) images is presented. These images, captured each in a different position of the microscope lens, frequently show partially focused cells or parts of cells, which makes them unpractical for the direct application of image analysis techniques. The proposed method obtains a focused image with a high preservation of original pixels information while achieving a negligible visibility of the fusion artifacts. The method starts by identifying the best-focused image of the sequence; then, it performs a mean-shift segmentation over this image; the focus level of the segmented regions is evaluated in all the images of the sequence, and best-focused regions are merged in a single combined image; finally, this image is processed with an adaptive artifact removal process. The combination of a region-oriented approach, instead of block-based approaches, and a minimum modification of the value of focused pixels in the original images achieve a highly contrasted image with no visible artifacts, which makes this method especially convenient for the medical imaging domain. The proposed method is compared with several state-of-the-art alternatives over a representative dataset. The experimental results show that our proposal obtains the best and more stable quality indicators.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Santiago Tello-Mijares and Jesús Bescós "Region-based multifocus image fusion for the precise acquisition of Pap smear images," Journal of Biomedical Optics 23(5), 056005 (11 May 2018). https://doi.org/10.1117/1.JBO.23.5.056005
Received: 12 February 2018; Accepted: 20 April 2018; Published: 11 May 2018
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Cited by 11 scholarly publications.
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KEYWORDS
Image fusion
Image segmentation
Image quality
Image processing
Fusion energy
Medical imaging
Visualization
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