会议专题

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

The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

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)