Title :
A mean shift and Non-negative PCA based color image segmentation approach
Author :
Chenaoua, K.S. ; Bouridane, A.
Author_Institution :
Comput. Eng. Dept., King Fahad Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
Image segmentation plays an important role in computer vision systems. An algorithm based on dimension reduction and the mean shift algorithm is used for the segmentation of color images. The Non negative matrix factorization is used for the transformation of the RGB components to a lower dimensional space. The mean shift algorithm is used to cluster the date in the reduced space and hence segment the image.
Keywords :
computer vision; data reduction; image colour analysis; image segmentation; matrix decomposition; principal component analysis; RGB component; color image segmentation; computer vision system; data clustering; dimension reduction; mean shift algorithm; non negative PCA; non negative matrix factorization; principle component analysis; Educational institutions; Color; Mean Shift algorithm; Non negative matrix factorization; Segmentation;
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
DOI :
10.1109/ISSPA.2010.5605433
