Dim point target enhancement and detection based on improved NL-means in complex background
文献类型：会议论文
| 作者 | Lv PY; Lin CQ |
| 出版日期 | 2017 |
| DOI | 10.1117/12.2281913 |
| 英文摘要 | In order to achieve a single-frame enhancement and detection of dim point targets efficiently a new method based on morphological top-hat transformation and modified non-local means (NL-means NLM) for target enhancement is presented. After enhancing dim point targets an estimating algorithm called local reverse entropy is applied to get candidate targets and obtains detecting results in the end. In this model white top-hat and black top-hat are combined to obtain pre-processed image then the targets are enhanced for the second time through modified NL-means algorithm. The background in the residual image of enhanced image and original image is mostly suppressed then it is regarded as the input of local reverse entropy estimation method (LREM). Detecting results can be obtained by setting proper thresholds. The 4 x 4 weak lattice targets with different brightness are superimposed on different infrared image backgrounds. The experimental results show that when the SCR is low (SCR approximate to 1) the detection algorithm model proposed in this paper has higher SCR gain than other target-enhancing algorithms such as TDLMS max-median max-mean non-local means etc. and the detection performance is the best. |
| 语种 | 英语 |
| 源URL | [http://202.127.2.71:8080/handle/181331/12088]  |
| 专题 | 上海技术物理研究所_上海技物所 |
| 作者单位 | Shanghai Inst Tech Phys |
| 推荐引用方式 GB/T 7714 | Lv PY,Lin CQ. Dim point target enhancement and detection based on improved NL-means in complex background[C]. 见:. |
入库方式： OAI收割
来源：上海技术物理研究所
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