DocumentCode :
1951749
Title :
Threshold procedures and image segmentation
Author :
Enyedi, Balázs ; Konyha, Lajos ; Fazekas, Kálmán
Author_Institution :
Dept. of Broadband Infocommun. & Electromagn. Theor., Budapest Univ. of Technol. & Econ.
fYear :
2005
fDate :
8-10 June 2005
Firstpage :
29
Lastpage :
32
Abstract :
Several fundamental image segmentation methods exist for the calculation of threshold values. The simple solutions provide typically inaccurate results, while the complex procedures require huge computation resources and/or long processing time (for example, OTSU´s method for image thresholding in case of determining several levels). One of the easiest procedures is to divide the colors into two domains by defining a threshold level (between the trivial thresholds) in the intensity signal, or, in case of several thresholds (L count including the trivial ones) distinguishing L1 number of regions. The optimal threshold levels are always dependent on the image content, therefore the adaptive methods always provide much better results. Such a procedure is the adaptive threshold (ATH) algorithm (Andreas E. Savakis, 1998) (J. Sauvola et al., 1997), which is easy to implement for grayscale images, and with slight modifications it is also suitable for color pictures
Keywords :
image segmentation; adaptive threshold; grayscale images; image content; image segmentation; intensity signal; optimal threshold levels; threshold level; threshold procedures; trivial thresholds; Color; Gray-scale; Image segmentation; Laboratories; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ELMAR, 2005. 47th International Symposium
Conference_Location :
Zadar
Print_ISBN :
953-7044-01-4
Type :
conf
DOI :
10.1109/ELMAR.2005.193633
Filename :
1505634
Link To Document :
بازگشت