一种基于人工免疫的图像分割算法
An Image Segmentation Algorithm Based on Artificial Immune
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摘要: 提出了二维熵图像分割的人工免疫算法。在遥感高分辨率图像上的实验显示,该算法不仅能准确搜索到最优阈值对,而且计算时间只有传统算法的1.8%。该算法也验证了人工免疫思想用于图像分割的可行性和有效性。Abstract: A new 2D entropy image segmentation algorithm based on artificial immune is proposed.Experiment results on aerial images show good segmentation quality,and time consuming is cut down to as only 1.8% as that of the traditional method.It proves our algorithm's feasibility and validity on image segmentation.
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