DocumentCode
230858
Title
Color image segmentation algorithm based on RGB channels
Author
Gothwal, Rajesh ; Gupta, Swastik ; Gupta, Deepika ; Kumar Dahiya, Anil
Author_Institution
Dept. of Comput. Eng., Gov. Eng. Coll., Ajmer, India
fYear
2014
fDate
8-10 Oct. 2014
Firstpage
1
Lastpage
5
Abstract
This paper presents a new region growing based color image segmentation technique with the use of RGB channels. The seed pixel selection and region growing phases are based on 8-neighbour connectivity similarity measurement. The region growing process based on intensity measurement between the seed pixel and 8-neighbour pixels of seed pixel. Region growing is applied to Red channel; Green channel and Blue channel separately, then combined labeled matrix is created to obtain segmented image. The threshold value (μ) is used to stop region growing process. Random pixel elimination method merges small regions to large neighbor regions in segmented image. The proposed segmentation technique is performed and analyzed with set of images obtained from Berkley Image segmentation dataset. The result of proposed technique is presented with the help of image processing tool.
Keywords
image colour analysis; image segmentation; intensity measurement; matrix algebra; 8-neighbour connectivity similarity measurement; Berkley image segmentation dataset; RGB channels; blue channel; color image algorithm; green channel; image processing tool; intensity measurement; labeled matrix; random pixel elimination method; red channel; region growing phases; seed pixel selection; threshold value; Color; Digital images; Image color analysis; Image segmentation; Matrix converters; Merging; Niobium; Color image segmentation; region growing; seed pixel selection; threshold value;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-6895-4
Type
conf
DOI
10.1109/ICRITO.2014.7014669
Filename
7014669
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