Performance Evaluation of the Nearest Feature Line Method in Image Classi cation and Retrieval
نویسندگان
چکیده
A new method, the nearest feature line (NFL) method, is used in image classi cation and retrieval, and its performance is evaluated and compared with other methods by extensive experiments. The NFL method is demonstrated to make eÆcient use of knowledge about multiple prototypes of a class to represent that class.
منابع مشابه
A 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 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 کاملPerformance Evaluation of Medical Image Retrieval Systems Based on a Systematic Review of the Current Literature
Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval system...
متن کاملThe PicToSeek WWW Image Search System
In this paper, we give an overview of the PicToSeek system for exploring visual information on the World Wide Web. PicToSeek automatically collects, indexes and catalogs visual information entirely on the basis of the pictorial content. PicToSeek allows for content-based image retrieval conducted in an interactive, iterative manner guided by the user by relevance feedback. Relevance feedback ca...
متن کاملA Classi cation Based Similarity Metric for 3D Image Retrieval
We present a principled method of obtaining a weighted similarity metric for 3D image retrieval, rmly rooted in Bayes decision theory. The basic idea is to determine a set of most discriminative features by evaluating how well they perform on the task of classifying images according to prede ned semantic categories. We propose this indirect method as a rigorous way to solve the di cult feature ...
متن کامل