Paper Info
Title
Starfruit Image Segmentation Based on YCbCr Color Space
Abstract
Segmentation in a classification system plays an important role as it will determine the region of interest for the classification. In this work, the segmentation of star fruit is performed in YCbCr color space. Because of the background of the image to be classify has 2 different colors, which are black and white, the segmentation is obtained using a fixed threshold value for the Cb component. This is because the value for Cb is equivalent in black, white or gray scale pixels. By fixing the threshold for Cb component, the region of interest (ROI) can easily be determined and then proceeded to the classification process. The results in this paper show that the ROI can be determined completely by this method.
Year
DOI
Venue
2010
10.1109/SITIS.2010.36
SITIS
Keywords
Field
DocType
gray scale,inspection,color space,classification system,field programmable gate arrays,region of interest,segmentation,image classification,classification,image segmentation,indexes
Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Field-programmable gate array,Image segmentation,Artificial intelligence,Pixel,Region of interest,Contextual image classification,Grayscale
Conference
ISBN
Citations 
PageRank 
978-0-7695-4319-2
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
R. Amirulah121.11
M. M. Mokji2142.36
Z. Ibrahim321.11
U. U. Sheikh4113.28