a novel set of image morphological operators using a modified vector distance measure with color pixel classification论文.pdf

J. Vis. Commun. Image R. 30 (2015) 46–63 Contents lists available at ScienceDirect J. Vis. Commun. Image R. journal homepage: /locate/jvci A novel set of image morphological operators using a modified vector distance measure with color pixel classification q Hazem Munawer Al-Otum ⇑ EE Department, Faculty of Engineering, Jordan University of Science Technology, Jordan EE Department, College of Engineering, Al-Imam Muhammad Bin Saud Islamic University, Saudi Arabia a r t i c l e i n f o a b s t r a c t Article history: A novel set of color image morphological operators is proposed and is based on using a modified vector Received 24 July 2014 distance measure with an efficient preprocessing color pixel classification procedure. The input color Accepted 9 February 2015 pixels are classified into different categories based on the characteristics of the human color perception Available online 21 March 2015 properties. Next, the color distance is calculated for each input color pixel based on its category, and, a combined technique is used to obtain color morphological operators. The main contributions of this work Keywords: can be summarized in the following: (a) designing of novel vector-based morphological operators that Mathematical morphology can be used with color images and (b) the designed operators were extended to be implemented for Multivariate ordering de