Improved image segmentation method based on optimized threshold using Genetic Algorithm

作者：Xin Zhao, Myungeun Lee, Myung‐Sun Kim · 年份：2008 · DOI：10.1109/aiccsa.2008.4493645 · 被引用次数：10 · 研究领域：Image Processing Techniques and Applications、Advanced Image and Video Retrieval Techniques、Image and Object Detection Techniques

In image segmentation, threshold segmentation is becoming more and more widely used because of its simplicity and efficiency. In this paper, an improved image segmentation method based on optimized threshold using genetic algorithm is proposed. Compared with the traditional threshold segmentation methods, this method has advantages that it can nicely segment the thin and it can efficiently reduce calculation time and it has good capability and stabilization nature. The results show that using this proposed method can obtain satisfactory segmentation effect.