Title :
A New Threshold Segmentation Method Based on the Genetic Algorithm for Enhancing the Images
Author :
Fei, Hong Xia ; Qing, Ye
Author_Institution :
Changsha Univ. of Sci. &Technol., Changsha, China
Abstract :
According to the degraded phenomenon of images, establishing shot is a gray-scale distribution of some more concentrated and closer to the sky brightness of the region, while the close-range part can tell, the gray distribution is symmetrical. A new threshold segmentation method based on the genetic algorithm for enhancing the misty images is proposed. the method seeks the threshold value using genetic algorithm which segment the establishing shot and the close shot[1]. then two different enhance method are used respectively. At the same time, the moving template processing method is adopted to resolve the edge effect in the flat region, and images are fused to improve the quality of image. The experiment shows that the method proposed above is very effective to improve the degradation of images and can enhance the clearness of images.
Keywords :
genetic algorithms; image enhancement; image segmentation; genetic algorithm; gray-scale distribution; misty image enhancement; moving template processing method; threshold segmentation method; Communities; Degradation; Genetic algorithms; Histograms; Image segmentation; Mobile communication; Noise; genetic algorithm; image enhancement; image segmentation; threshold;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.89