NLEBS: Automatic target detection using a unique nonlinear-enhancement-based system in IR images

作     者：Greenberg, S Yehezkel, R Gurevich, Y Guterman, H 

作者机构：Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84105 Beer Sheva Israel 

出 版 物：《OPTICAL ENGINEERING》 (光学工程)

年 卷 期：2000年第39卷第5期

页      面：1369-1376页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 0702[理学-物理学] 

主　　题：automatic target detection enhancement algorithms image processing pattern recognition 

摘      要：A new automatic target detection method for IR images that only requires information about the size of the targets is described. The. proposed nonlinear-enhancement-based system (NLEBS) algorithm is based on a nonlinear enhancement paradigm that increases the contrast of the targets with minimal change in the clutter s contrast. The NLEBS employs several stages of processing, each with a different operational purpose. First, the nonlinear enhancement operation is performed by using an iterative procedure. After binarization, segmentation merging causes each local image region to grow by filling in holes. Then segmentation pruning is applied to remove spurious segments. Finally, a heuristic-based metric is employed to validate the possible targets. The performance of the NLEBS was tested with a targe set of IR images. The results of these experiments showed a probability of detection greater than 90% and a false-alarm rate of about 1 false alarm per image. (C) 2000 Society of Photo-Optical Instrumentation Engineers.