SVM Based Classification Technique for Color Image Retrieval

نویسنده

  • Asmita Patil
چکیده

Due to digitization of technology there is a large volume digital images available. In recent years, CBIR is a research field which includes quickly search field of images from large database. Among all the types available of CBIR technology, color based image retrieval is growing area of interest. The technique mentioned in this paper is to develop Support Vector Machine based classification system on image database to retrieve images. For the purpose of feature extraction Block Truncation Coding with 8 color clumps is used. For the purpose of experiment YCbCr color space is used. Index Terms — Block Truncation Coding, Content Based Image Retrieval , Support Vector Machine, One Against One

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

Content Based Image Retrieval using Combined Features of Color and Texture Features with SVM Classification

Retrieval of an image is a more effective and efficient for managing extensive image database. Content Based Image Retrieval (CBIR) is a one of the image retrieval technique which uses user visual features of an image such as color, shape, and texture features etc. It permits the end user to give a query image in order to retrieve the stored images in database according to their similarity to t...

متن کامل

A Survey: On Content Based Image Retrieval

Content based Image Retrieval is the task of retrieve the images from the large collection of database on the basis of their own visual content. CBIR is used for automatic indexing and retrieval of images depending upon contents of images known as features. This paper provides the survey of technical achievements in the research area of image retrieval. In this paper, a survey is done on the di...

متن کامل

Image Retrieval Using Dynamic Weighting of Compressed High Level Features Framework with LER Matrix

In this article, a fabulous method for database retrieval is proposed.  The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shap...

متن کامل

Image 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 کامل

Hybrid Approach for Image Classification using SVM Classifier and SURF Descriptor

Low level features like color etc. of an image are really very important for any image retrieval system. This paper implements image classification technique using SURF descriptor and SVM classifier. SURF method which is advanced version of SIFT is used to match feature points of training and test images. SVM classifier based on the outcome of feature points then classifies images. Through the ...

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 2014