基于SUSAN算法和行列均值分割的海面舰船检测
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Infrared warship target detection based on SUSAN algorithm and segmentation algorithm using the mean of image rows and columns
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    摘要:

    提出一种基于SUSAN检测和行列均值分割的复杂海天背景的红外舰船目标检测算法。首先建立一个简单的舰船轮廓模型,结合SUSAN算子检测得到感兴趣区域ROI,并且感兴趣区域的大小可以由轮廓模型进行一定的控制;然后对感兴趣区域运用改进的行列均值分割得到舰船目标。实验结果表明,提出的算法能正确分割出舰船目标。

    Abstract:

    In this paper,a method for detecting infrared warship target in the complex background of sea-sky based on SUSAN detection and segmentation algorithm using the mean of image rows and columns.First,a simple model of warship contour was built.And the ROI can be decided subsequently,combine with SUSAN detection.Besides,the model of warship contour can control the size of the ROI in a way.Then,an improved segmentation algorithm based on the mean of image rows and columns was proposed.After the image segmentation,ship target was extracted.The experimental results show that the proposed algorithm is successful and can extract the infrared warship target.

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严发宝,邹常文,王璐,乐静,陈伟,董海.基于SUSAN算法和行列均值分割的海面舰船检测[J].激光与红外,2011,41(3):324~327
YAN Fa-bao, ZOU Chang-wen, WANG Lu, LE Jing, CHEN Wei, DONG Hai. Infrared warship target detection based on SUSAN algorithm and segmentation algorithm using the mean of image rows and columns[J]. LASER & INFRARED,2011,41(3):324~327

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