Title :
A study on image merge method using genetic algorithm for image based e-learning system
Author :
Naganawa, Yuki ; Kawanaka, Hiroharu ; Tsuruoka, Shinji
Author_Institution :
Div. of Electr. & Electron. Eng., Mie Univ., Tsu
Abstract :
Previously, authors proposed a method for taking the appropriate images of written area on the blackboard. In the method, the blackboard is segmentalized into several areas and template matching method is used to acquire the high-resolution images of the written area. It is however, difficult to acquire appropriate rules or search areas for template matching method. This makes decision of template size and matching areas more difficult with high accuracy. This paper proposes a new method to merge the blackboard sub image automatically by using Evolutionary Computation.
Keywords :
computer aided instruction; decision making; genetic algorithms; image colour analysis; image matching; image resolution; image segmentation; search problems; blackboard segmentation; decision making; e-learning system; evolutionary computation; genetic algorithm; high-resolution image; image merge method; search area; template matching method; Cameras; Character recognition; Computer networks; Electronic learning; Genetic algorithms; Genetic engineering; Image resolution; Image segmentation; Multimedia databases; Videos; Genetic Algorithm; Image Based e-Learning System; Template Matching;
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2008.4811273