Image Retrieval System Using Hybrid Feature Extraction Technique

نویسندگان

  • Vadhri Suryanarayana
  • Raja Rao
  • Bhaskara Reddy
  • Ravindra Babu
چکیده

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 to evaluate the retrieval system based on Hybrid features. The texture features are extracted by using pyramidal wavelet transform and the shape features are extracted by using Fourier descriptor. And the hybrid technique is the combination of both texture and shape. The major advantage of such an approach is that little human intervention is required. It is ascertained that the performance is superior when the image retrieval based on the Hybrid features, and better results than primitive set. KEYWORD Feature Extraction, Hybrid features, Image Retrieval

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

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 کامل

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 کامل

Fuzzy Neighbor Voting for Automatic Image Annotation

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

متن کامل

Content 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 کامل

A Novel Image Retrieval Technique based on Gabor Function, Local Tetra Pattern and ASMC

CBIR alone won’t give perfect retrieval results due to semantic gap. To overcome the problem of semantic gap in CBIR, more than one Semantic Content Based Image Retrieval techniques are required which is known as Hybrid Classification System. Hence the proposed approach uses multiple machine learning techniques with combination of different classifiers like supervised and unsupervised, soft cla...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012