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Local patterns have two problems: 1) the traditional local patterns methods only consider the frequency of each pattern, and does not consider the co-occurrence information between adjacent pixels pairs in the image; 2)the traditional methods limit on the gray texture analysis, ignoring the importance of color information. To address above problems, a novel method is proposed for color image retrieval...
Image data mining can be done manually by slicing and dicing the data until a pattern becomes obvious. Or, it can be done with programs that analyse the data automatically. Colour, texture and shape of an image have been primitive image descriptors in Content Based Image Retrieval (CBIR) system. Primitive features of an image used to identify and retrieve closely matched images from an image database...
Image transformation is required for color-texture image segmentation. Various techniques are available for the transformation along the spatial and spectral axes. For instance, the HSV-wavelet technique is shown to be very effective for image information mining in remote-sensing applications. However, the HSV transformation approach uses only three spectral bands at a time. In this letter, a new...
In this paper, we propose an example-based method for automatic image annotation. The advantage of this method is that it can determine the image annotation using former annotation experiences, which overcomes the shortcomings of manual-annotation. Also, the method can be extended as semi-automatic annotation, which provides users with a simple and convenient interface for annotation.
Object categorization plays an important role in computer vision, semantic based image content understanding, and image retrieval. Wavelet packet transform provides a very good observation for the images by sub-band filtering. Different objects have distinctive characteristics in the sub-bands of wavelet packets, which should be discriminative for objects classification. In this paper, an object categorization...
This paper explores the use of multi-bit quantisation of image features for similarity-based image retrieval. Our work builds on multi-resolution image similarity search algorithms which utilise one-bit representation of the largest magnitude wavelet coefficients. Given a query, images are ranked based on the number of quantised coefficients they have in common with the query. We explore the benefits...
Low frequency wavelet coefficients are important to image recognition and understanding. While the applications of the low frequency wavelet coefficients are limited in nowadays. In this paper, the authors present a method of the aerial image retrieval by extracting BFV (binary feature vector, BFV) and TFV (ternary feature vector, TFV) of low frequency wavelet coefficients based on non-parameter local...
The homogeneous texture descriptor is one of MPEG-7 texture descriptors. This descriptor describes the texture information of an image or the region of interest in an image. A new texture feature wedge feature is proposed, which emphasizes the texture direction. The homogeneous texture descriptor owning the new feature is more suitable to content-based image retrieval system. The experimental results...
In this paper, we present an application of adaptive directional wavelet transform (WT) for content-based texture image retrieval. The adaptive directional WT is an alternative of the traditional separable WT for image coding since it is able to transform along diagonal orientations as well as horizontal/vertical orientations and keeps perfect reconstruction property by lifting factorization. We use...
This paper proposes a set of efficient algorithms for rotation- and scale-invariant texture classification. This set is based on the well established Gabor feature. A circular sum of the Gabor feature elements belonging to the same scale is proposed to reduce the effect of rotation, while a slide matching of augmented scales is proposed to address the effect of scaling. The resulting feature vector...
This paper presents an interface of image query system for content-based image retrieval.The proposed interface can split images into the regions and select an target region from the separated regions. We apply content-based image retrieval to the selected region as a query.The images in databases are also split into the areas in advance.The content features such as color and texture are extracted...
This paper proposes a new image retrieval method using non-separable discrete wavelets (NDWT) and local binary patterns (LBP). Compared with the traditional wavelet, the three high frequency sub-images generated by the non-separable wavelets can extract more information and do not extensively focus on the three special directions any more. Further, local image texture and their occurrence histogram...
We investigate perceptual similarity metrics for the content-based retrieval of natural textures. The goal is to find perceptually similar textures that may have significant differences on a point-by-point basis. The evaluation of such metrics typically requires extensive and cumbersome subjective tests. The focus of this paper is on the recovery of textures that are "identical" to the query...
With the development of information technology, the number of scanned images is increasing rapidly. There are many important texts in these images. In order to satisfy the need of images viewing, text identification and text retrieval, this paper presents an efficient method for text segmentation. Firstly, localizes the text blocks in scanned image. Secondly, according to its gray/color distribution,...
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...
A new retrieval algorithm based on the energy and entropy of multiwavelets is presented. Firstly, the retrieval image is decomposed by the multiwavelets transform. Secondly, the 0/1 quantization is used to deal with the energy matrix of sub image of multiwavelets decomposition. The multiwavelets entropy and energy of image is computed as the texture feature of image. The Gaussian model is used to...
In this paper we introduce the new integrated color and texture based image retrieval technique using neuro-fuzzy approach for content based image retrieval. Most of the image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. To address this problem, we developed color and texture based neural network-fuzzy logic approach...
This paper proposes a novel and effective invariant shape representation by Radon and stationary wavelet transforms for images with complex inner shapes. The proposed method is invariant to general geometrical transformations. Instead of analyzing shapes directly in the spatial domain, the proposed method retrieves features in Radon transform domain by statistical and spectral analysis to make shapes...
This paper presents a new approach to content-based image retrieval by using dynamic indexing and guided search in a hierarchical structure, and extending data mining and data warehousing techniques. The proposed algorithms include: a wavelet-based scheme for multiple image feature extraction, the extension of a conventional data warehouse and an image database to an image data warehouse for dynamic...
Recently, with the development of the information technology, the number of images is increasing rapidly. There is much important text in these images. In order to satisfy the need of images viewing, text identification and text retrieval, this paper presents an efficient Method for text location and segmentation. Firstly, the image is converted into wavelet transform domain. Then three sub-band wavelet...
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