Title :
An Improved Ostu Method for Image Segmentation
Author :
Jiao, Shuhong ; Li, Xueguang ; Lu, Xin
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ.
Abstract :
The Ostu method is one of the applied methods of image segmentation in selecting threshold automatically for its simple calculation and good adaptation. This paper describes an improved method of threshold selecting, through the gray level and gradient mapping (GGM) function. The result of simulation demonstrates that, the new algorithm described in this paper can detect the object and restrain the noise effectively. The algorithm has a widespread application prospect
Keywords :
gradient methods; image segmentation; Ostu method; gray level and gradient mapping function; image segmentation; Application software; Computer vision; Educational institutions; Histograms; Image edge detection; Image processing; Image segmentation; Lighting; Object detection; Probability;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345705
