A method for automatic infrared point target detection in a sea background based on morphology and wavelet transform

Peizhi Wen; Zelin Shi; Haibin Yu; Xiaojun Wu

doi:10.1117/12.538804

25 September 2003 A method for automatic infrared point target detection in a sea background based on morphology and wavelet transform

Peizhi Wen, Zelin Shi, Haibin Yu, Xiaojun Wu

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538804
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

A method is developed for the detection and segmentation of spot targets at sea surface. Firstly, the Sea-Sky-Division-Line (SSDL), close to the horizon, is detected by wavelet-transform to mark out the Target Recognition Region (TPR), which can reduce the target searching range. A Row average grayscale substraction (RAGS) operation is employed to correct the blur caused by the non-linearity distribution of the temperature field. To repress the clutter in the background and increase the SNR of the image, a morphology Top-Hat filter is utilized. Then, the image is opening by selecting a proper structuring element to acquire a few potential target points. Through searching the maximal intensity and determining a threshold, most of the false alarms can be eliminated and the doubtful targets can be segmented. When the SSDL is visible, the real point-target can be retained according to the TPR and the false target can be discarded. Under the conditions of invisibility of SSDL for it is outsdie of the image or it is obscure due to the weather, the segmented target is the real target. The experiment result shows that the method can effectively detect and segment infrared point target in complex sea background.

Citation Download Citation

Peizhi Wen, Zelin Shi, Haibin Yu, and Xiaojun Wu "A method for automatic infrared point target detection in a sea background based on morphology and wavelet transform", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538804

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