Application of balanced histogram thresholding for lung segmentationin chest X-ray images
DOI:
https://doi.org/10.17721/2706-9699.2026.1.07Keywords:
image segmentation, Balanced Histogram Thresholding, chest X-ray images, Contrast Limited Adaptive Histogram EqualizationAbstract
The paper considers the application of global thresholding methods for lung region segmentation in chest X-ray images, in particular the Otsu, Kapur, and Balanced Histogram Thresholding (BHT) methods. A comparative analysis of the these methods is performed. The effectiveness of the approaches is evaluated using the Dice coefficient, Recall, and the over-segmentation index (OSI). Additionally, the impact of image preprocessing using Contrast Limited Adaptive Histogram Equalization (CLAHE) on segmentation quality is analyzed. The obtained results show that the use of CLAHE significantly improves segmentation performance for the Otsu and Kapur methods. The BHT method provides the highest segmentation completeness, but is characterized by an increased level of over-segmentation. It is demonstrated that the considered methods can be applied for initial lung region extraction.
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