Title :
One image segmentation method based on Otsu and fuzzy theory seeking image segment threshold
Author :
Tang, Zhiwei ; Wu, Yixuan
Author_Institution :
Lab. For Intell. Image Process., Third Res. Inst. of Minist. of Public Security, Shanghai, China
Abstract :
Based on the study of image segmentation algorithm, this paper presents one kind of improved image segmentation algorithm by comprehensive using the Otsu method and the method based on fuzzy theory seeking image segment threshold. The method uses Otsu method, obtained by pre-segmentation threshold value; then the image is divided into target and background. At last we use fuzzy partition method for final segmentation threshold. The experimental results show that the method can keep a greater degree of image detail. Especially for low SNR images and poor contrast image, there is a relatively good result.
Keywords :
fuzzy set theory; image segmentation; Otsu; SNR images; background image; final segmentation threshold; fuzzy partition method; fuzzy theory seeking image segment threshold; image segmentation; poor contrast image; pre-segmentation threshold value; target image; Conferences; Electronic mail; Hidden Markov models; Image segmentation; Laboratories; Mathematical model; Image Segmentation; OTSU; fuzzy; threshold;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066573