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A novel local texture feature extraction algorithm is proposed based on histogram of oriented gradient domain texture tendency (HOGTT). Classical HOG descriptor proves to be sensitive to rotation transformation, though it is insensitive to illumination and scale changes. The intrinsic texture tendency of tyre tread image has obvious consistency and is robust to different types of images transformation...
Based on a large scale crime scene investigation (CSI) image database, an effective and efficient CSI image retrieval system has been proposed to empower the investigative work of the police force. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is proposed for CSI images, which is shown to be simple and effective. (2) the use of GIST descriptor...
Crime scene investigation (CSI) images are important clues for the police to solve cases. With the available of large scale CSI image database, effective and efficient CSI image retrieval becomes more and more important. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is constructed for effective description of CSI images; (2) GIST descriptor is...
SIFT features have been found to be effective in describing image textures. Because SIFT features have some great characteristics, such as translation invariance, zooming in and out invariance, spin invariance and affine invariance, etc, so the image retrieval precision is satisfactory usually. However, in Content Based Image Retrieval (CBIR), there are so many SIFT feature points extracted from an...
In order to protect the legitimacy and integrity of Criminal Scene Investigation image data, digital watermark can be embedded into the images, as evidence of identification of illegal infringement. This paper studies on texture feature extraction from forensic tyre tread patterns with watermark, in order for automatic tyre tread pattern retrieval. Intensive literature survey shows that this work...
By analyzing the character of necktie pattern and integrating image retrieval technology, a new approach to texture content-based image retrieval for necktie pattern is proposed in this paper. On the base of pattern extraction by color separation, Gabor wavelet transformation is used to extract pattern's eigenvector, an improved multiple-angle rotate-invariant similarity definition is presented. The...
In content-based image retrieval, the ldquosemantic gaprdquo between visual image features and user semantics makes it hard to predict abstract image categories from low-level features. We present a hybrid system that integrates global features (G-features) and region features (R-features) for predicting image semantics. As an intermediary between image features and categories, we introduce the notion...
Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. In this paper, a new approach to digital image retrieval using intermediate semantic features and multistep search has been proposed. Instead of looking for human level semantics which is too challenging at this stage, the...
Content-based image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their low-level features. How to effectively find the semantic meanings of images is a central challenge in the area. In this paper, we propose an interactive platform for region-based image clustering and retrieval. A genetic...
Texture is an important feature to describe images. Though lots of work has been done for efficient texture feature extraction from rectangular images, no much effort has been made in texture feature extraction from arbitrary-shaped regions in region-based image retrieval (RBIR) system. In this paper, we present an efficient texture feature extraction algorithm for arbitrary-shaped regions. This algorithm...
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