STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features

  1. Vivek Verma
  2. Punit Kumar Johari

Abstract

Due to increase in volume of images in database, content based image retrieval becomes a challenging problem. To overcome such problems and efficient access of images from database, image retrieval uses low level features such as color, shape and texture that are prominent to retrieve the images. These features are extracted from the images. At last images are retrieved relevant to the query image from the database based on the similarity measurements. In this paper some low level features and their limitations are described. Furthermore, future scope is also suggested. Relevance feedback technique can be used to reduce the semantic gap between human perception and computerized system. Cite this ArticleVivek Verma, Punit Kumar Johari. A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features. Journal of Image Processing & Pattern Recognition Progress. 2015; 2(2): 70–77p.

Keywords

Support