Study on Otsu Threshold Method for Image Segmentation Based on Genetic Algorithm

Abstract:

Threshold segmentation method was widely applied in image process and the selection of threshold affected the final results of image segmentation to a large extent. In order to improve the accuracy and the calculation speed of image segmentation, an Otsu threshold segmentation method based on genetic algorithm was offered. According to the threshold and the gray scale values of pixels, the pixels were divided into two categories, and then the genetic algorithm was used to find the maximum variance between clusters and obtain the optimal threshold of segmentation image. The experimental results show that this method can be used to segment the image effectively, which make the basis for image processing and analysis in the next step.

• Periodical: Advanced Materials Research (Volumes 998-999)
• Pages: 925-928
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.998-999.925
• Online since: July 2014
• Authors: Zhi Bo Xu, Pei Jiang Chen*, Shi Li Yan, Tai Hua Wang
• Keywords: Genetic Algorithm (GA), Image Segmentation, Otsu, Threshold Method

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