The breakdown of the Hemoglobin (Hb) generates a high level of bilirubin (a yellow-orange bile pigment.). Consequently, the whites of the eyes, skin, and mucous membranes turn yellow. The increase in the bilirubin level in the blood serum can be used as a biomarker for various liver disorders. Various methods have been used to determine the level of bilirubin. For clinical analytical purposes, several methods have been used such as spectrophotometry. High-performance liquid chromatographic, and thin-layer. However, these conventional procedures are invasive, costly, and time-consuming as well as require an expert person to operate. To overcome these limitations, image processing has been used on a large scale. This review study presents the various types of image processing algorithms that have been used to monitor the level of bilirubin. The comparison of the state of art studies based on methods, subjects, producers and algorithms as well as their future perspectives are discussed.
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