A Connected-Tube MPP Model for Object Detection with Application to Materials and Remotely-Sensed Images
A Connected-Tube MPP Model for Object Detection with Application to Materials and Remotely-Sensed Images
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DOI：
10.1109/icip.2018.8451108
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发表时间：
2018-10
期刊：
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通讯作者：
Tianyu Li;M. Comer;J. Zerubia
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文献类型：
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作者：
Tianyu Li;M. Comer;J. Zerubia
本文提出了一种基于标记点过程（MPP）的连接管模型，用于图像中的条形特征提取。该模型结合了一种优先连接，基于管道之间的相互位置关系，这种连接更倾向于某些连接。此外，该模型可以很容易地与其他几何模型结合形成混合MPP模型，用于更复杂的检测任务。将连通管模型与椭圆模型相结合，将所提出的管模型应用于显微镜图像中的纤维检测。对短纤维采用椭圆模型检测，对长纤维采用管状模型检测。本文还对该模型在遥感图像中的道路和建筑物检测进行了测试。
In this paper, we propose a connected-tube model based on a Marked Point Process (MPP) for strip feature extraction in images. This model incorporates a connection prior that favors certain connections between tubes based on their mutual positional relationship. Moreover, this model can easily be combined with other geometric models to form a mixed MPP model for more complex detection tasks. The proposed tube model is applied to fiber detection in microscopy images by combining connected-tube and ellipse models. The ellipse model is used for detecting short fibers, while the longer fibers are detected by tube model. We also test the model on road and building detection in remotely sensed images.