Title :
Improved automatic white balance based on Otsu threshold
Author_Institution :
Autom. Eng. Lab., Univ. of Electron. Sci. & Technol., Chengdu, China
Abstract :
Automatic white balance algorithm is a method to solve the picture distortion under different illumination. However, most of algorithms do not perform well and the computation amount is large. This paper proposed an improved method by OTSU threshold, which quickly distinguishes the background and foreground and also improves the performance by applying Gray World Assumption (GW) under the condition of considering the weight of background and foreground.
Keywords :
image processing; Otsu threshold; automatic white balance; background image; foreground image; gray world assumption; picture distortion; Algorithm design and analysis; Classification algorithms; Histograms; Image color analysis; Lighting; MATLAB; Standards; GW; automatic white balance; background and background; otsu method;
Conference_Titel :
Computing and Communication Systems (NCCCS), 2012 National Conference on
Conference_Location :
Durgapur
Print_ISBN :
978-1-4673-1952-2
DOI :
10.1109/NCCCS.2012.6412996
