Title :
Water droplets segmentation for hydrophobicity classification
Author :
Liang, Chao ; Yang, Wenming ; Liao, Qingmin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Shenzhen, China
Abstract :
In this paper, we propose an effective water droplets segmentation algorithm based on HSV color space and watershed method. Water droplets segmentation is the key issue to design an automatic hydrophobicity classification algorithm, and the challenge is two-fold: highlight spots on water droplets and the transparency of water. By decomposing the color images into HSV color space, water droplets are easy to be separated in the saturation channel, and watershed method is incorporated to reduce the side-effect of highlight spots. Experimental results on real images demonstrate the advantage of our proposed method.
Keywords :
drops; edge detection; hydrophobicity; image classification; image colour analysis; image segmentation; HSV color space; automatic hydrophobicity classification algorithm; color image decomposition; edge detection; highlight spot side-effect reduction; saturation channel; water droplet segmentation algorithm; water transparency; watershed method; Algorithm design and analysis; Brightness; Color; Image color analysis; Image edge detection; Image segmentation; Insulators; HSV color space; edge detection; hydrophobicity classification; rubber insulators; watershed;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288098