Title :
A simple approach to determine the best threshold value for automatic image thresholding
Author :
Ismail, A.H. ; Marhaban, M.H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
Image thresholding is a powerful yet simple method to highlight the subject from its background in image scene analysis. Lots of methods have been proposed around the globe while some researchers regard this matter as a non-trivial problem. This paper proposes a simple approach for fast calculation of the threshold value for automatic image thresholding based on gradient analysis of the image histogram. The method manages to successfully differentiate the subject from the background. The proposed approach is validated by illustrative examples. Satisfactory results were acquired with other methods that use more complex algorithms.
Keywords :
image segmentation; automatic image thresholding; gradient analysis; image histogram; image scene analysis; threshold value; Background noise; Flowcharts; Frequency; Gray-scale; Histograms; Image analysis; Image processing; Image segmentation; Power engineering and energy; Signal processing;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
DOI :
10.1109/ICSIPA.2009.5478623