Infrared dim target detection based on fractal dimension and third-order characterization

• 作 者: 王鑫 刘磊 唐振民
• 机 构: School of Computer Science and Technology,Nanjing University of Science and Technology,School of Ele
• 出 处: Chinese Optics Letters
• 发表日期: 2009年10期
• 关键词: fractal Infrared illustrate similarity texture invariant false fitting maximizat

We propose an improved algorithm based on fractal dimension and third-order characterization to detectdim target with cluttered background in an infrared (IR) image.We also illustrate the performance andefficiency comparisons between the presented algorithm and the traditional fractal detection method onreal IR images.The experimental results show that the proposed algorithm is robust and efficient for IRdim target detection.

We propose an improved algorithm based on fractal dimension and third-order characterization to detect target with cluttered background in an infrared (IR) image. We also illustrate the performance andefficiency comparisons between the presented algorithm and the traditional fractal detection method on real IR images. experimental results show that the proposed algorithm is robust and efficient for IRdim target detection.