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Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during...
Multimedia technology is known as the single repository source for information retrieval that includes images, audio and video. Nowadays, it is growing with tremendous amount in the field of communication technology. Traditional text based retrieval techniques of information retrieval are inefficient at searching user's intended information from the large multimedia database. To address this problem,...
Content based image retrieval has become a major research interest recently. This paper presents an improved image similarity measure for image retrieval system. In the region based image comparison, two images are usually compared in terms of sum of the Euclidean distances among their regions. In this work, the image similarity measure is enhanced through a fuzzyfication of regions' importance and...
Pioneering approaches that are effectual and conducive involved in the retrieval of information accessible on the World Wide Web. The distinct features can be used for the retrieval process, but the problem is to how to integrate the feature values. The peculiar features such as texture and color are used for exhibiting the content of an image. In this paper, we introduce a Wavelet and Gabor based...
Considering the requirement for a more objective result of image retrieval, the features of image itself attract more and more attentions of researchers. Recently, the shape context of images is widely applied in image matching for its good invariance of translation and scale, as well as its good robust for small geometric distortion. Thus, the features of shape context are introduced in this paper...
Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. High spatial resolution images are complex and differ widely in their content, even in the same category. All images are more or less textured and structured. If the image to recognize is somewhat or very structured, a shape feature will be somewhat or very...
In content-based image retrieval, and for this critical issue of image feature fusion, paper proposes a new method to determine the weights for multi-feature fusion. In this paper, color histogram, color correlogram, gray level co-occurrence matrix, Tamura and Hu moments, this five kinds of feature extraction method was adopted. Firstly, use these five features conducted single feature retrieval on...
Natural-ordered complex Hadamard Transform (NCHT) is a novel discrete orthogonal transform and NCHT power spectrum is invariant to the cyclic shift of transformed data. In this paper, NCHT is used to derive new shape descriptor, namely NCHT based descriptor (NCHD) for image retrieval. In NCHD each shape contour is sampled first and expressed by a complex signature which captures both local contour...
A method of sketch-based image retrieval by using saliency is proposed. This paper introduces saliency based on the color contrast into the sketch-based image retrieval to solve the common problems of scale and translation. Moreover, an improved Hausdorff distance is proposed to increase punishment on outliers, which avoids the negative effects caused by the outliers. The experiment result shows that...
With the development of computer-aided education and digital library, there have emerged large numbers of digital documents online for education purposes. However, it is far from convenient to retrieve mathematic geometry questions because current retrieval systems largely rely on keywords instead of geometry figure images. We focus on plane geometry figure (PGF) image retrieval aiming at retrieving...
Huge variety of medicine cures diseases. But unlabeled pills sometimes confuse people, even causing adverse drug events. This paper introduces a high accuracy automatic pill recognition method based on pill imprint which is a main discriminative factor between different pills. To describe the imprint information clearly, we propose a Two-step Sampling Distance Sets (TSDS) descriptor based on Distance...
In this paper, we present a novel signature matching method based on supervised topic models. Shape Context features are extracted from signature shape contours which capture the local variations in signature properties. We then use the concept of topic models to learn the shape context features which correspond to individual authors. The approach consists of three primary steps. First, K-means is...
Image retrieval has been popular for several years. There are different system designs for content-based image retrieval (CBIR). So, it is very important to find effective and efficient feature extraction techniques. This paper proposes a new local approach for CBIR system which combines mechanisms including content-based image, as well as fuzzy systems. First, we exploit Beta Wavelet Network Analysis...
The timely and accurate identification of plant species is a persistent challenge as pressure from human activity threatens global flora biodiversity. Most existing research on computer based plant species identification has focused on using leaf contour, signature and spectral analysis techniques alongside textural properties of the leaf lamina. However, these global feature based methods often suffer...
With the increase of the number of trademarks, trademark imitation has become a serious problem. Thus a system, which could efficiently retrieve trademark images, is imperative. In this paper, such a system is presented based on the research and analysis of key image retrieval technology and requirements of users. Text-based retrieval technology and content-based image retrieval technology are utilized...
Shape, color and texture are the most important discriminative elements for content based image retrieval. Fourier descriptors are widely used in shape based image retrieval problems. This paper presents a novel method of extracting Fourier descriptors from the simplest shape signature - complex coordinates. Instead of the commonly used scale normalization with the magnitude of the first harmonic,...
Major Fashion trends in the world have been set up from dominant groups of fashion players from the leading fashion countries which have soon become fashion trend setters affecting to fashion trend area in a wide range from important fashion books to major catwalk parades. However, the process of fashion trends setting in many countries still remain complex and unpredictable. In this research we have...
Digital education is serving an increasingly important function in most educational institutions, thus resulting in the production of a large number of digital documents online for education purposes. However, convenient ways to retrieve mathematic geometry questions are lacking because current retrieval systems largely rely on keywords instead of geometry figure images. This study focuses on plane...
We propose a spatial-color layout feature specially designed for galaxy images. Inspired by findings on galaxy formation and evolution from Astronomy, the proposed feature captures both global and local morphological information of galaxies. In addition, our feature is scale and rotation invariant. By developing a hashing-based approach with the proposed feature, we implemented an efficient galaxy...
Medical image database is growing day by day. There are various categories of medical images such as CT scan, X- Ray, Ultrasound, Pathology, MRI, Microscopy, etc [1]. Physicians compare previous and current medical images associated with patients to provide right treatment. Medical Imaging is playing a leading role in modern diagnosis. Efficient image retrieval tools are needed to retrieve the intended...
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