Paper
14 December 2015 A method for extracting water objects from visible image
Author Affiliations +
Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98121C (2015) https://doi.org/10.1117/12.2203635
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Visible image, compared with SAR image and infrared image, has the advantage of high resolution, clear details, etc. So it can be selected for object extraction. Water objects play an important role in locating bridges, dams and other typical buildings. This paper presents a segmentation method for visible image based on gradient of the original image, and combined with the features of the water targets. According to the feature of water targets, gray uniform, smaller entropy, and smaller local variance, water objects can be extracted automatically and effectively by using clustering method from image segmentation result.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuan Zhang, Mingxing Xu, and Yaozong Zhang "A method for extracting water objects from visible image", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98121C (14 December 2015); https://doi.org/10.1117/12.2203635
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KEYWORDS
Image segmentation

Image processing

Feature extraction

Image processing algorithms and systems

Buildings

Synthetic aperture radar

Image quality

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