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Semantic segmentation for remote sensing images is a critical process in the workflow of object-based image analysis. Recently, convolutional neural networks(CNNs) are powerful visual models that yield hierarchies of features. In this paper, we propose a deep convolutional encoder-decoder model for remote sensing images segmentation. Specifically, we rely on the encoder network to extract the high-level...
A weakly supervised semantic segmentation (WSSS) method aims to learn a segmentation model from weak (image-level) as opposed to strong (pixel-level) labels. By avoiding the tedious pixel-level annotation process, it can exploit the unlimited supply of user-tagged images from media-sharing sites such as Flickr for large scale applications. However, these ‘free’ tags/labels are often noisy and few...
In order to eliminate the influence on the immersion and realism for virtual reality simulation system environment, which is resulted from the color difference of the multi-projector display system, an optimization color correction algorithm based on projector-camera system is proposed. It considers the non-linear influence of both camera and projector. Unlike previous work, where the affection of...
Delicate surgical planning and accurate guidance plays an important role in successful image guided intervention. In interventional lung cancer diagnosis and treatments, precise segmentation of pulmonary vessels from lung CT images provides vital visualization for pre-op planning and inra-op guidance to avoid major vessel damage. While simple thresholding and window/level setting can briefly segment...
The development of the first Chinese ElectroMagnetic Human Model (CEMHM) in The Chinese University of Hong Kong is reported. The model can be used in any electromagnetic simulation tools to reveal more accurate and practical biological effect caused by RF radiation of a wireless device. The preliminary numerical study of SAR distribution using the CEMHM is presented. It is found that the maximum SAR...
Active contours, or snakes, have been used widely for image segmentation. A novel method incorporating geodesic curves and region information is introduced. The extra region force gives the active contour model a global complementary view of the boundary information within the image. The proposed method incorporates edge information, namely edgeflow, into active contours. We refer to this as edgeflow-driven...
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