Object Identification Based on Deformable Templates and Genetic Algorithm
In this paper, an algorithm is described which detects and localizes shapes in grayscale images. Deformable templates are often employed to model the geometry of the object to be found in an image. There are several methods to find the optimal placement and deformation of the template onto the image. A genetic algorithm is designed which takes the object template and processed grayscale image and locates the object in the image, invariant to rotation, translation and scale. The limitations of processing the image before running the Genetic Algorithm (GA) are discussed.
Object identification Genetic algorithm Deformable templates Evolutionary algorithm
M.A.MONI A B M Shawkat Ali
Department of Computer Science & Engineering Jatiya Kabi Kazi Nazrul Islam University, Bangladesh School of Computing Science Central Queensland University, Australia
国际会议
北京
英文
114-117
2009-07-24(万方平台首次上网日期,不代表论文的发表时间)