2018
DOI: 10.1007/978-3-319-94211-7_53
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Spectral Image Enhancement for the Visualization of Dental Lesions

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Cited by 8 publications
(7 citation statements)
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“…50 In the University of Eastern Finland there are currently research projects to develop digital imaging and digital histological staining techniques for oral tissues (teeth, oral mucosa, alveolar bone), using spectral imaging. 51,52…”
Section: Digital Transillumination and Spectral Imagingmentioning
confidence: 99%
“…50 In the University of Eastern Finland there are currently research projects to develop digital imaging and digital histological staining techniques for oral tissues (teeth, oral mucosa, alveolar bone), using spectral imaging. 51,52…”
Section: Digital Transillumination and Spectral Imagingmentioning
confidence: 99%
“…Successful data-analysis can allow the design of optimized optical imaging solutions for targeted diagnostic analyses. In the simplest cases, spectral images can be used to design systems that enhance the visibility of a targeted feature, for example, by applying different weights on the bands while computing a color image representation [7], or by optimizing contrast to produce optimal optical filters [8,9]. The selected spectra could also be used in training targeted diagnostic imaging systems, like spectral filter array cameras [10], or in automatic diagnostic image segmentation based on deep learning [11].…”
Section: Introductionmentioning
confidence: 99%
“…Individual spectral band images of a hyperspectral image may also show improved visibility of features-of-interest which allows optimal wavelength band selection for designing feature-specific imaging systems (e.g., narrowband imaging [6,7] and burn depth assessment [8]). Furthermore, numerical optimization and data analysis methods can be used on spectral images to find combinations of different spectral bands that improve the visibility of certain features, allowing the design of optimal spectral transmittances for optical filters and optimal spectral power distributions for light sources [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…in [9]) due to larger intensity range (positive and negative ranges vs. positive only). While the simple computational approach in [10] could offer useful partially negative filters, the proposed weights would require very narrow spikes for positive and negative parts rendering optical implementation infeasible. Filters derived from lower-order principal components have relatively simple spectral shape and are easily implemented.…”
Section: Introductionmentioning
confidence: 99%