Hybrid Feature of Tamura Texture Based Image Retrieval System
نویسندگان
چکیده
Storage and retrieval of images in such libraries has become a real demand in industrial, medical, and other applications. Content-based image indexing and retrieval (CBIR) is considered as a solution. In such systems, in the indexing algorithm, some features are extracted from every picture and stored as an index vector. We apply tamura texture features on digital images and compute the low order statistics from the transformed images. Images are then represented using the extracted texture features. These feature combination integrate the pixels spatial distribution information into a numerical value. The experiment results show that this method is still effective when the data scale is very large, and it has superior scalability than traditional indexing methods. Keywords— CBIR, Image Retrieval, Image indexing
منابع مشابه
Content Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کاملImage Retrieval System Using Hybrid Feature Extraction Technique
Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is ...
متن کاملContent Based Image Retrieval for Mobile Systems
This paper proposes, a hybrid approach employing texture and colour feature is investigated. A modified approach for performing texture based feature extraction by gray level co-occurrence matrix and colour based feature extraction by colour cooccurrence vector. The Euclidean distance classifier is used for finding the similarity measures between the query image and the database image. In our p...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملA Pattern Thesaurus for Browsing Large Aerial Photographs
A texture based image retrieval system for browsing large-scale aerial photographs is presented. The salient components of this system include texture feature extraction, image segmentation and grouping, learning similarity measure, and a texture thesaurus model for fast search and indexing. The texture features are computed by filtering the image with a bank of Gabor filters. This is followed ...
متن کامل