Logo
International Journal of
Research in Advanced Engineering and Technology
ARCHIVES
VOL. 5, ISSUE 2 (2019)
Adaptation of matlab K-means clustering function to create Color Image Features
Authors
Jamil Al-Azzeh, Rashad Rasras, Ziad Alqadi, Belal Ayyoub, Ahmad Sharadqh
Abstract
K_means method is commonly used for color image clustering, and it can be used also for color image features creation, these features can be used later on as an image signature which refers to the image in any application, such image recognition or image retrieval system. Using clusters or within_cluster sums created by K_means method is not correct because the values of these sets change from time (run) to time. So a modification was added to this method, by proposing a new method. The proposed method will be implemented, the clusters for each image will be created, also the within_cluster sums will be created and it will be shown that each of these data sets can be used as an image features to create an image signature.
Download
Pages:10-18
How to cite this article:
Jamil Al-Azzeh, Rashad Rasras, Ziad Alqadi, Belal Ayyoub, Ahmad Sharadqh "Adaptation of matlab K-means clustering function to create Color Image Features". International Journal of Research in Advanced Engineering and Technology, Vol 5, Issue 2, 2019, Pages 10-18
Download Author Certificate

Please enter the email address corresponding to this article submission to download your certificate.