DocumentCode :
3207534
Title :
Improved technique for segmenting images under natural environment
Author :
Abdullah, Sharifah Lailee Syed ; Hambali, Hamirul Aini ; Ismail, Khudzir ; Jamil, Nursuriati
Author_Institution :
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 02600 Arau, Perlis, Malaysia
fYear :
2010
fDate :
5-7 Dec. 2010
Firstpage :
401
Lastpage :
405
Abstract :
Segmentation is an essential step used for analyzing images in computer vision because digital images must be partitioned into different regions. The objective of this study is to investigate the techniques in thresholding-based method for segmenting images under natural environment. Although thresholding is popular and widely used for image segmentation, it was discovered that modifications to threshold value must be made for several images to produce clearer segmented images.
Keywords :
Biofuels; Image color analysis; Image edge detection; Image segmentation; Lighting; Pixel; Image segmentation; edge detection; inverse technique; morphological operation; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Social Research (CSSR), 2010 International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-8987-9
Type :
conf
DOI :
10.1109/CSSR.2010.5773808
Filename :
5773808
Link To Document :
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