New target detection algorithm based on grayscale level connectivity in flir image sequences

Aim. The level-k component zone of grayscale level connectivity was only mentioned in Ref.4 by Braga-Neto et al. Braga-Neto et al proposed a method of target detection in forward-looking infrared (FLIR) image sequences without using level-k component zone^[6]. We now propose a new target detection algorithm based on extracting the level-k component zone of target in FLIR image sequences. In the full paper, we explain the new target detection algorithm in detail. In this abstract, we just add some pertinent remarks to listing the two topics of explanation. The first topic is: the grayscale level connectivity on complete lattice. In the first topic, we discuss three questions: (1) the level-k connectivity, (2) the algorithm based on grayscale level connectivity and (3) the algorithm for extracting level-k component zone of target. The second topic is; the detection of target in FLIR image sequences. In the second topic, we discuss intraframe and interframe processing. In intraframe processing, as explained in the full paper, we give a three-step procedure for detecting target in a single FLIR image. In interframe processing, target association and detection is implemented in terms of a dilation-based connectivity along the time direction in FLIR image sequences. Experimental results are given in a table in the full paper. These results indicate that using our new target detection algorithm raises the value of SNR to, on an average, 5.9 times that of the SNR previously obtained. These results demonstrate the effectiveness and robustness of the proposed method for dim target detection in the clutter and noise background.