Current challenges in content based image retrieval by means of low-level feature combining
نویسندگان
چکیده
منابع مشابه
Current challenges in content based image retrieval by means of low-level feature combining
The aim of this paper is to discuss a fusion of the two most popular low-level image features colour and shape in the aspect of content-based image retrieval. By combining them we can achieve much higher accuracy in various areas, e.g. pattern recognition, object representation, image retrieval. To achieve such a goal two general strategies (sequential and parallel) for joining elementary queri...
متن کاملComparative Study: Content Based Image Retrieval using Low Level Features
Image retrieval plays an important role in many areas like architectural and engineering design, fashion, journalism, advertising, entertainment, etc. How to search and to retrieve the images that we are interested in is a fatal problem: it brings a necessity for image retrieval systems. As we know, visual features of the images provide a description of their content. Contentbased image retriev...
متن کاملAnalyzing Low-Level Visual Features Using Content-Based Image Retrieval
This paper describes how low-level statistical visual features can be analyzed in our content-based image retrieval system named PicSOM. The lowlevel visual features used in the system are all statistical by nature. They include average color, color moments, contrast-type textural feature, and edge histogram and Fourier transform based shape features. Other features can be added easily. A genui...
متن کاملLow-Level Color and Texture Feature Extraction for Content-Based Image Retrieval
A flexible multiscale and directional representation for images is proposed. The scheme combines directional filter banks with the Laplacian pyramid to provides a sparse representation for twodimensional piecewise smooth signals resembling images. The underlying expansion is a frame and can be designed to be a tight frame. Pyramidal directional filter banks provide an effective method to implem...
متن کاملFeature selection for content-based image retrieval
In this article, we propose a novel system for feature selection,which is one of the key problems in contentbased image indexing and retrieval as well as various other researchfields such as pattern classification andgenomic data analysis. The proposed system aims at enhancing semantic image retrieval results, decreasing retrieval process complexity, and improving the overall system usability f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Annales UMCS, Informatica
سال: 2010
ISSN: 2083-3628,1732-1360
DOI: 10.2478/v10065-010-0034-8