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Content Based Image Retrieval is a well-known retrieval process in the field of Image processing. CBIR is a special way of finding similar images from huge database. CBIR utilizes three rudimentary features like color, texture and shape which plays an essential role in image retrieval. The effective image retrieval process is the need and number of computations along with the rate of retrieval should...
Retrieving images depend of specific features In Content Based Image Retrieval (CBIR). A common approach is to divide retrieval process into two stages; the first one is based on high-level features followed by the second that is based on low-level features. We focus primarily on medical images, and follow the above approach but make the following two basic contributions: a) introduce the gray cluster...
The image retrieval from multimedia databases is a very challenging problem nowadays. Not only it requires the proper query form, but also efficient methods of data storage. The problem is important, because nowadays there are many different systems which needs image retrieval. As an example web searching engines may be given, which had to store a very huge amount of images and needs fast image retrieval...
Content-based image retrieval methods use color, texture and shape of an object for indexing and retrieval. Among these features, shape is a basic visual feature that holds significant information of the object. In this paper an alphabetic contour-based shape description method is proposed to facilitate shape classification and retrieval. The proposed method breaks down shape's contour into small...
We propose a novel concept of asymmetric feature maps (AFM), which allows to evaluate multiple kernels between a query and database entries without increasing the memory requirements. To demonstrate the advantages of the AFM method, we derive a short vector image representation that, due to asymmetric feature maps, supports efficient scale and translation invariant sketch-based image retrieval. Unlike...
The main aim of this paper is to reduce the computational time, to increase the complexity ratio and to improve the image quality by applying dither Dither Block Truncation coding algorithm with different similarity comparison algorithm, as different approaches are followed to improve the quality of an image, ODBTC is one of the approach, but to improve the quality we will also include some of the...
With the popularity of the network and expansion of multimedia technology, the traditional techniques of information retrieval do not satisfy the requirements of users. Recently, the content based image retrieval and its techniques have become the hot topic to satisfy a great development. In this paper, a new method is proposed to solve the problem of regions of interest (ROI) based image retrieval...
It is very difficult to retrieve image from large no of database which contain some message on it. The OCR techniques are becoming very efficient techniques for external and fast retrievals. The OCR technique search image based on data or text written on image. It search image or message contain in the image OCR the mechanical or electronic conversion of images of typed, handwritten or printed text,...
The detection and matching of logos have widely attention for the document images retrieval projects. In this paper an automatic effective logo matching has been developed and applied to different Arabic documents. The proposed technique based on matching between logos by using two types of significant features. The first is region based feature which represent the global features of an object. This...
Vision is vital to decision making, as humans naturally trust their eyes to enhance situation awareness. Yet the modern age has overwhelmed humans with massive amounts of visual information, which is problematic in time sensitive and mission critical situations, such as emergency management and disaster response. More efficient search and retrieval systems address some of these issues, which is why...
With the advances in digital imaging techniques, the number of digital images has risen in the past decade. With the increasing number of image databases consisting of a large number of images, it is challenging to extract images specific to our requirement. Therefore, it becomes necessary to design efficient search systems to query large image databases. Content-based Image Retrieval (CBIR) algorithms...
Image retrieval and classification in medical domain are the two important aspects in decision making and automatic annotation of benign and malignant images. These processes improve the decision making during decease identification. Image classification is usually done by checking image visual or semantic content similarity. Image content may be represented by its low level visual features referring...
Technology brings images as a communication media for humans. Image communication used today in many fields such as education, media, healthcare and in other domains. Based on image retrieval user input selection one of the most powerful technique and has been an active research direction for the couple of years. Various features are used for image retrieval. Most of the retrieval technique used image...
An image retrieval system is a software system which is used to browse, search and retrieve images from a large database of digital images. It is a specialized search to find digital images. In most applications of image processing, it becomes necessary to find images by using text, keywords or by using any other features of an image. The conventional or traditional methods of image retrieval includes...
Content-based image retrieval (CBIR) is a technique uses visual contents such as color, texture and shape to search images from large scale image databases according to users' interest. In a CBIR, visual image content is represented in form of image features, which are extracted automatically and there is no manual intervention, thus eliminating the dependency on humans in the feature extraction stage...
Deep learning has shown to be very effective in variety of applications including image classification and object recognition. In this paper we use deep autoencoder for compact shape representation learning and image retrieval. In this method the autoencoder is a 4-layer coding network, and the original shape images after scale normalization are used to pre-train the autoencoder in an unsupervised...
In recent years, with the explosion of digital images on the Web, content-based retrieval has emerged as a significant research area. Shapes, textures, edges and segments may play a key role in describing the content of an image. Radon and Gabor transforms are both powerful techniques that have been widely studied to extract shape-texture-based information. The combined Radon-Gabor features may be...
In this paper we present a new method for content-based image retrieval. The method is based on querying database by approximate shape representing given object. In this way all images containing the object may be found. Shapes are specified as a set of geometric primitives and attributes. Relations between primitives are represented by a graph. Our graph matching algorithm is used for computing the...
Searching an image in a huge set of images became an important task in several domains such as crime, medicine, geology and so on. The task of retrieving images by their visual contents is called content-based image retrieval (CBIR) systems. These systems have to be fast, efficient and semantically similar. For this aim, we used a new density clustering technique in our proposed CBIR system. The paper...
Batik is one of Indonesian cultural products in the form of traditional fabrics which has many motifs. One of famous batik is madurese batik. Here, Madura is one of Indonesia islands which has a distinctive motif in terms of colors and motif characteristic that distinguishes it from other regions in Indonesia, but the Madurese communities themselves have not understood the meaning of Madurese batik...
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