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Infrared (IR) image segmentation is a key technology of automatic target recognition technology (ATR), which strongly affects the image analysis results. As a global threshold method, the maximum entropy method is often applied in multi-threshold image segmentation, which can get ideal result. However, its time-consuming computation is often an obstacle in real time application systems. In this paper,...
Detecting sky-sea line is very important to identify targets for missile imaging guidance. As traditional Canny algorithm gives out too many edges in infrared images with sky-sea background, an modified Canny algorithm is suggested to detect the sky-sea line in this paper In this algorithm, the Canny method is combined with a median filter, its two thresholds are designed to be adaptive based on the...
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information from thermal infrared video with standard CCTV video in order to detect and track objects. Separate background modelling in each modality and dynamic mutual information based thresholding are used to provide initial foreground...
This paper presents a method to improve face detection by locating eyes in an image using infrared (IR) light, based on reflections due to the red-eye effect. The developed method analyzes two consecutive frames where the first one is taken under regular illumination with no IR and the second one using IR. The location of the eyes and the face contour are computed from the IR images using a collection...
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