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This paper presents a domain-specific automated image analysis framework for the detection of pre-cancerous and cancerous lesions of the uterine cervix. Our proposed framework departs from previous methods in that we include domain-specific diagnostic features in a probabilistic manner using conditional random fields. Likewise, we provide a novel window-based performance assessment scheme for 2D image...
A real-time detection and tracking of moving objects in video sequences is very important for smart surveillance systems. However, due to dynamic changes in natural scenes such as sudden illumination and weather changes, repetitive motions that cause clutter, motion detection has been considered a difficult problem to process reliably. Hence, its robustness needs to be improved for applications in...
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