FEATURE SELECTION FOR IMAGE RETRIEVAL BASED ON EVOLUTIONARY COMPUTATION
نویسندگان
چکیده
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 کاملFeature 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 کاملImage Retrieval System Based on Feature Computation – an Integrated Approach
The idea proposed in this paper utilizes an efficient image retrieval system that is based on computation and combination of grey level, shape and texture features. The proposed system calculates various grey level features which are used to extract attributes from an input image. Grey Level Co-occurrence Matrix is used to compute the texture feature of a given image while the Shape feature fin...
متن کاملFeature 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 کاملFeature Selection and Extraction for Content-Based Image Retrieval
Content-Based Image Retrieval is a technique that utilizes the visual content of an image to search for similar images in large scale image databases. The visual content of an image represents the low-level features extracted from the image. These primarily constitute color, shape and texture features. The precision of image classification and image retrieval is mainly based on image feature ex...
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: International Journal of Research in Engineering and Technology
سال: 2016
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2016.0507011