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A Novel Technique for Effective Image Gallery Search using ...
A Novel Technique for Effective Image Gallery Search using Content Based Image Retrieval System. ... Image Retrieval is a technique which uses visual features of image such as color, shape ......
 A Novel Image Retrieval System Using ACO and Relevance ...
Content-based image retrieval uses the visual contents of an image such as color, shape, texture, and spatial layout to represent and index the image. In typical content-based image retrieval systems, the visual contents of the images in the database are extracted and described by multi-dimensional feature vectors....
Content-based image retrieval techniques for the analysis ...
1. Introduction. Content-based image retrieval (CBIR) is an important tool for handling large amounts of visual information in medical applications , .Three key steps can be identified in a generic CBIR system: (a) the extraction of valid information from images, (b) the computation of a suitable distance measure which quantifies the similarity of a query image from the reference images, and ......
An effective content-based image retrieval technique for ...
For the last three decades, content-based image retrieval (CBIR) has been an active research area, representing a viable solution for retrieving similar images from an image repository. In this article, we propose a novel CBIR technique based on the visual words fusion of speeded-up robust features (SURF) and fast retina keypoint (FREAK) feature descriptors....
A Novel Technique Based on Visual Words Fusion Analysis of ...
Content-based image retrieval (CBIR) is a mechanism that is used to retrieve similar images from an image collection. In this paper, an effective novel technique is introduced to improve the performance of CBIR on the basis of visual words fusion of scale-invariant feature transform (SIFT) and local intensity order pattern (LIOP) descriptors....
A Novel Image Retrieval Based on a Combination of Local ...
Content-based image retrieval (CBIR) provides a sustainable solution to retrieve similar images from an image archive. In the last few years, the Bag-of-Visual-Words (BoVW) model gained attention and significantly improved the performance of image retrieval. In the standard BoVW model, an image is represented as an orderless global histogram of visual words by ignoring the spatial layout....
A Novel Approach for Information Content Retrieval and ...
retrieval system process. Each image has three contents such as: colour, texture and shape features. Colour and Texture both plays important image visual features used in Content-Based Image Retrieval to improve results. In this paper, we have presented an effective image retrieval system using...
A Novel Image Retrieval Based on Visual Words Integration ...
Related Work. Query By Image Content (QBIC) is the first system launched by IBM for image search [1, 3].After that, a variety of feature extraction techniques are proposed that are based on color, texture, shape and spatial layout [2–5, 27–34].The visual feature integration is applied to reduce the semantic gap between low-level image features and high-level image concepts [3, 5, 20, 21]....
Content-based image retrieval - Wikipedia
Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to ......
A novel image retrieval based on rectangular spatial ...
55 A novel image retrieval based on rectangular spatial histograms of visual words Fig. 1. Corel images of different classes (Beach, Africa, Elephants, and Mountains) with a semantic rectangular relationship Fig. 2. Proposed technique based on rectangular spatial histograms of visual words In this paper, we are presenting a novel method of image...
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