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In this paper we propose a hybrid feature-based wallpaper visual search system. As opposed to conventional techniques that use global features to perform wallpaper search, this paper proposes to integrate local and global features to support both functions of recognition (identify the product ID of the query images) and retrieval (search wallpapers that are visually similar to the query images). An...
This paper presents object-based image retrieval using a novel method based on perceptual grouping. The perceptual grouping is obtained by detecting the line edge from a square block using the two consecutive primitive edge differences detector. Object segmentation and recognition is the primary step of computer vision for applying for an image retrieval of higher-level image analysis. However, automatic...
Texture is an important property of fire smoke, which is a significant signal for early fire detection. This paper describes a method of analyzing the texture of fire smoke combining two innovative texture analysis tools, Wavelet Analysis and Gray Level Cooccurrence Matrices (GLCM). Tree-Structured Wavelet transform is used to represent the textural images and GLCM are used to compute the different...
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