Mr. Suqi Huang Profile

Suqi Huang

at Univ. of Electronic Science and Technology of China

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Proceedings Article | 8 February 2019 Paper

River detection using LBP and morphology in infrared image

Tian Pu, Zhuoran Wang, Zhenming Peng, Suqi Huang, Yuhan Liu

Proceedings Volume 10843, 108430L (2019) https://doi.org/10.1117/12.2505921

KEYWORDS: Infrared imaging, Feature extraction, Image processing, Image analysis, Detection and tracking algorithms, Image segmentation

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Detecting landscapes such as rivers, mountains or forests in the complex scenes is a challenging problem in the field of infrared image, which has been applied widely in military and civilian. This paper aims to detect the river from infrared images, presenting an approach that combines the local binary pattern (LBP) and morphology to extract the river. The LBP descriptor is highly discriminative, computationally efficient and stable for monotonous gray level images. In this paper, we propose an improved LBP descriptor, which adopts a radius of 1.5 pixels and uses every neighbor pixel of center to acquire more information. Firstly, we preprocess the data and extract the feature by the improved LBP descriptor. Then a combination of the threshold processing, filtering and morphological operator is used to emphasize the feature result. Finally, through connected component analysis, the maximum connected component is focused to detect the river in the infrared image. The performance of algorithm is tested on a set of images. Areas of the extracted river and time cost are measured as well.

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