title: A novel BA complex network model on color template matching.
abstract: A novel BA complex network model of color space is proposed based on two fundamental rules of BA scale-free network model: growth and preferential attachment. The scale-free characteristic of color space is discovered by analyzing evolving process of template's color distribution. And then the template's BA complex network model can be used to select important color pixels which have much larger effects than other color pixels in matching process. The proposed BA complex network model of color space can be easily integrated into many traditional template matching algorithms, such as SSD based matching and SAD based matching. Experiments show the performance of color template matching results can be improved based on the proposed algorithm. To the best of our knowledge, this is the first study about how to model the color space of images using a proper complex network model and apply the complex network model to template matching.
authors.affiliation: Nanhu College, Jiaxing University, Jiaxing 314001, China.
authors.forename: Risheng
authors.initials: R
authors.lastname: Han
authors.affiliation: College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, China.
authors.forename: Shigen
authors.identifier: 0000-0002-7558-5379
authors.initials: S
authors.lastname: Shen
authors.affiliation: College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, China.
authors.forename: Guangxue
authors.initials: G
authors.lastname: Yue
authors.affiliation: College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Ding
mesh_terms: D000465:Algorithms; D003116:Color; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016571:Neural Networks, Computer