Abstract : It is difficult to separate the foreign fiber objects in a captured
color image from the background accurately. To solve this problem, this
paper presents a new approach for color image segmentation in RGB color
space based on color saliency. Firstly, the captured RGB color image was
separated to R, G and B color channels, and the color information for
each channel was calculated. Secondly, the R saliency for each pixel in
the R channel, the G saliency for each pixel in the G channel, and the B
saliency for each pixel in the B channel was calculated respectively.
Then comprehensive saliency map was obtained by the weighted R, G and B
saliency. The weights for the R, G and B saliency were determined by the
corresponding color information of each color channel. At last, the
foreign fiber targets were separated out from the comprehensive saliency
map using a threshold method. The results indicate that the proposed
method can segment out the foreign fiber objects from the color image
accurately.
https://hal.inria.fr/hal-01220937 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, October 27, 2015 - 10:14:53 AM Last modification on : Wednesday, January 17, 2018 - 10:44:15 AM Long-term archiving on: : Thursday, January 28, 2016 - 10:37:00 AM
Chen Zhang, Wenzhu Yang, Zhaohai Liu, Daoliang Li, Yingyi Chen, et al.. Color Image Segmentation in RGB Color Space Based on Color Saliency. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.348-357, ⟨10.1007/978-3-642-54344-9_41⟩. ⟨hal-01220937⟩