Region growing based segmentation with automatic seed selection using threshold techniques on X-radiography images

In this article, a novel scheme based on region growing segmentation is presented to detect features. This method provides solution to automatic seed selection in region growing segmentation, thus aims to segment the region of interest in an uneven background in industry X-radiography images. Otsu and Kittler's thresholds are employed for the automatic seed selection. The performance of the proposed method is evaluated by the relative foreground area error metric and compared with other existing segmentation methods. The performance measures show that the proposed method is capable of providing the required segmentation of features.