Rapid extraction of the hottest or coldest regions of medical thermographic images

In this study, twelve test cases were presented and by applying lazy snapping algorithm, the hottest or coldest regions were extracted from the corresponding body thermographic images. The time taken to see the results varied from 7 to 30  s for these twelve cases. It was concluded that lazy snapping was much faster than other methods applied by the authors such asK-means, fuzzyc-means, level set, and mean shift algorithms for segmentation.Graphical abstractTime taken to implement lazy snapping algorithm to extract suspicious regions in different presented thermograms (in seconds). In this study, ten test cases are presented that by applying lazy snapping algorithm, the hottest or coldest regions were extracted from the corresponding body thermographic images. The time taken to see the results varied from 7 to 30  s for the ten cases. It concludes lazy snapping is much faster than other methods applied by the authors.

Source: Medical and Biological Engineering and Computing - August 20, 2018 Category: Biomedical Engineering Source Type: research