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A fire smoke detection algorithm based on optical flow method and texture feature is proposed, which can be used for early fire alarm. It establishes the image of Pyramid, and uses LBP and LBPV to extract the static texture features of different levels. Due to the turbulence characteristic of the smoke motion, the smoke direction is consistent, and optical flow vector analysis is used to judge the...
Detection of visually salient regions is useful for applications like image adaptation, adaptive compression, image retrieval and so on. In this paper, a new bottom-up visual attention model (VAM) is proposed based on the spirit of cross-layer optimization in the field of communication. In this model, the local saliency and global saliency are firstly extracted based on the contrast of low-level features...
Salient regions detection is becoming more and more important due to its useful application in image representation and understanding. The accurate detection of salient regions can reduce the complexity and improve the efficiency of image processing. In this paper, a visual attention model based on multi-scale local contrast of low level features is proposed. In the proposed model, a multi-scale transform...
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