Title :
A fast auto white balance scheme for digital pathology
Author :
Garud, Hrushikesh ; Ray, A.K. ; Mahadevappa, M. ; Chatterjee, Jyotirmoy ; Mandal, Srimanta
Author_Institution :
Sch. of Med. Sci. & Technol., IIT Kharagpur, Kharagpur, India
Abstract :
This paper presents a fast and accurate auto white balance scheme specifically suited for white balance (WB) correction in digital pathology applications. The scheme uses low-level statistics based technique for illuminant estimation and linear transformation method for image correction. The WB performance of the proposed scheme has been tested in various real life conditions and found to be within just noticeable difference of the ideal WB scenario.
Keywords :
biomedical optical imaging; digital photography; image colour analysis; medical image processing; statistics; WB performance; digital pathology applications; fast auto white balance scheme; ideal WB scenario; illuminant estimation; image correction; linear transformation method; low-level statistics based technique; real life conditions; white balance correction; Biomedical imaging; Computational modeling; Educational institutions; Estimation; Image color analysis; Microscopy; Pathology; Color constancy; auto white balance; computer vision; digital pathology;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864327
