IMAGE RETRIEVAL BASED ON FEATURE SELECTION METHOD

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Feature 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 کامل

Feature Selection for Image Retrieval based on Genetic Algorithm

This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction such as colour, texture and shape. The three techniques are used for feature extraction such as colour moment, gray level cooccurrence matrix and edge histogram descriptor. To r...

متن کامل

A flower image retrieval method based on ROI feature.

Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Cen...

متن کامل

Eecient Content-based Image Retrieval Using Automatic Feature Selection

We describe a self-organizing framework for content-based retrieval of images from large image databases at the object recognition level. The system uses the theories of optimal projection for optimal feature selection and a hierarchical image database for rapid retrieval rates. We demonstrate the query technique on a large database of widely varying real-world objects in natural settings, and ...

متن کامل

Feature Selection Using Visual Saliency for Content-Based Image Retrieval

Saliency algorithms in content-based image retrieval are employed to retrieve the most important regions of an image with the idea that these regions hold the essence of representative information. Such regions are then typically analysed and described for future retrieval/classification tasks rather than the entire image itself thus minimising computational resources required. We show that we ...

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

ژورنال

عنوان ژورنال: International Journal of Research in Engineering and Technology

سال: 2014

ISSN: 2321-7308,2319-1163

DOI: 10.15623/ijret.2014.0319007