Infrared Image Segmentation Based on Type-2 Entropy Fuzzy Clustering Using L₁ Metric

In order to recognise objects accurately, an algorithm for infrared image segmentation based on type-2 entropy fuzzy clustering using L₁ metric is proposed from the characteristic of infrared image.Firstly, the distances between sample and cluster center are replaced by the distances between sample and the maximum or minimum value in classification using L₁ metric.Then the upper membership and lower membership are obtained through entropy fuzzy clustering.The membership is get by type-2 fuzzy fusion.A weighted type-reduction method is given.The experimental results show the infrared image can be segmented well by the proposed method.This method is robust and adaptive.The ideal results are obtained in complex background.