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A novel image representation and learning method using SVM ...
Support vector machines (SVM) is gaining a considerable attention as an approach to improvement performance of the content-based image retrieval (CBIR). Most SVM for CBIR rely on global feature, which length of the feature representation is fixed. However, region-based image retrieval (RBIR) use variable length representation, and common kernel utilize the inner product or l<sub>p&lt ......
Novel CBIR System Based on Ripplet Transform Using ...
Content Based Image Retrieval (CBIR) system is an emerging research area in effective digital data man-agement and retrieval paradigm. In this article, a novel CBIR system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is presented. To improve the retrieval result...
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 ......
NOVEL CONTENT –BASED IMAGE RETRIEVAL TECHNIQUES FOR ...
these systems need to consider each region in the database images, resulting in high retrieval response time. Thus, we need a solution to reduce the number of database regions included in the similarity computation. The existing CBIR systems use global features or region based features for representation of image content....
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....
Intelligent Content Based Image Retrieval System
performance of CBIR System, region level image representation is more close to human perception system. Hence region based image retrieval is in use for better results. Gerald ,[3]In this paper, discussion is over color features for image retrieval with usage of compression techniques...
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 ......
Vol. 2, Special Issue 3, July 2014 Artificial Neural ...
The image retrieval system concentrates on approximate similar image retrieval. The color distribution usually represents by color histogram that is one of the image feature. The shape and texture feature of images that are aid to improve the accuracy of the CBIR system. The texture is rapid pixel representation. Shape is most important feature ......
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