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