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Analysis of institutional authors

Segarra P.AuthorSanchidrián J.a.AuthorFernandez A.AuthorGomez S.Author

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December 11, 2025
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Lithology identification using borehole images by contrast-limited adaptive histogram equalization and machine learning models

Publicated to: Journal Of Rock Mechanics And Geotechnical Engineering. - 2025-01-01 (), DOI: 10.1016/j.jrmge.2025.08.002

Authors:

Li E; Segarra P; Sanchidrián JA; Ahmed Z; Catalán I; Fernández A; Gómez S
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Affiliations

Universidad Politécnica de Madrid - Author

Abstract

Agile lithology identification can assist mining by providing important information in the exploration and production of mineral resources. This study proposes a new lithology recognition procedure using video-logging of boreholes with an endoscope, applied to six production blocks in a limestone quarry. Images are automatically extracted from the videos and the lithology is classified into three classes based on clay content, i.e. massive limestone, brecciated limestone, and high amount of clay. The image quality is evaluated with a gray pixel intensity threshold and three no-reference image quality metrics, i.e. perception-based image quality evaluator, natural image quality evaluator, and blind/referenceless image spatial quality evaluator. After removing low-quality images, 7583 images are retained and used for developing lithology classification models using six optimized classification techniques. The contrast-limited adaptive histogram equalization (CLAHE) technique is used to improve image quality. Ten color characteristics involving three percentiles of red, green and blue pixel intensities, together with color counting and five texture characteristics – correlation, entropy, homogeneity, contrast and energy – are used as inputs. Bayesian optimized light gradient boosting machine model performs best, with an overall accuracy of 88.04%, and a precision on the classes of massive limestone, brecciated limestone and high amount of clay of 90.72%, 83.52% and 85.29%, respectively, for the testing set. The feature importance scores show that the color counting is the most significant parameter for the development of the classification model. Compared with previous image-based methodologies, this study provides a more flexible and cheaper procedure to identify lithology.
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Keywords

Borehole imagesContrast-limited adaptive histogram equalization (clahe)EndoscopeLight gradient boosting machineLithology identification

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Rock Mechanics And Geotechnical Engineering due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 1/65, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Geological. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-02-02:

  • Scopus: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-02-02:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 10 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/92710/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 22
  • Downloads: 4
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Li E.) and Last Author (GOMEZ MATEOS, SANTIAGO).

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