Computer-based quantitative image texture analysis using multi-collinearity diagnosis in chest X-ray images.

ABSTRACT: Despite tremendous efforts devoted to the area, image texture analysis is still an open research field. This paper presents an algorithm and experimental results demonstrating the feasibility of developing automated tools to detect abnormal X-ray images based on tissue attenuation. Specifically, this work proposes using the variability characterised by singular values and conditional indices extracted from the singular value decomposition (SVD) as image texture features. In addition, the paper introduces a "tuning weight" parameter to consider the variability of the X-ray attenuation in tissues affected by pathologies. This weight is estimated using the coefficient of variation of the minimum covariance determinant from the bandwidth yielded by the non-parametric distribution of variance-d

SUBMITTER: Quintero-Rincon A 

PROVIDER: S-EPMC11996224 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature