Retrieval of trade mark images by shape feature
نویسنده
چکیده
Research into computerized storage and retrieval of pictorial information has grown from modest beginnings in the late 1970's to a thriving field encompassing areas as diverse as digitized maps, satellite images, fingerprint collections, and libraries of engineering or architectural drawings. As more and more applications have been developed, the limitations of conventional retrieval methods have become more apparent, and the importance of automatic content analysis and retrieval of images has increasingly been recognized (Grosky and Mehrotra, 1992). Image content retrieval can take a number of forms. A recent review (Eakins, 1992) distinguishes three main types of image retrieval system:
منابع مشابه
Retrieval of Trade Mark Images by Shape Feature - the Artisan Project
As more and more applications in both the commercial and scientific field make routine use of pictorial data, it has become increasingly apparent that the problems involved in organizing image collections for efficient storage and retrieval are far from trivial. Hence interest in research into image content retrieval has grown rapidly over the last few years. The field has provided a rich varie...
متن کاملروشی برای بازخورد ربط براساس بهبود تابع شباهت در بازیابی تصویر بر اساس محتوا
In content based image retrieval systems, the suitable visual features are extracted from images and stored in the feature database Then the feature database are searched to find the most similar images to the query image. In this paper, three types of visual features by 270 components were used for image indexing. Here, we use a weighted distance for similarity measurement between two images....
متن کاملEvaluation of a Trademark Image Retrieval System
This paper describes the evaluation of ARTISAN, a system designed to provide automatic retrieval of abstract trademark images by shape feature. The system depends for its operation on analyzing each image to characterize key shape components, grouping image regions into families which potentially mirror human image perception, and then deriving characteristic indexing features from these famili...
متن کاملCombined Local and Global Features for Improving the Shape Retrieval
Content-based image retrieval (CBIR) is playing an important role in multimedia information retrieval. This paper proposes an effective solution for IR by combining shape description and feature matching. First, an effective shape description method which includes two shape descriptors is presented. Second, an effective feature matching strategy to compute the dissimilarity value between the fe...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کامل