Work

Content based Image Retrieval using Color and Texture

Year: 2016

Type: article

Abstract: A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words.Content Based Image Retrieval (CBIR) deals with retrieval of images based on visual features such as color, texture and shape.This paper presents retrieval of images based on color and texture using various proposed algorithms.

Source: International Journal of Computer Applications

DOI: 10.5120/ijca2016909633

Authors: Tasneem Mirza, Rishabh Indoria, Geet Dalwani, Krish Jain

Institution: University of Mumbai

Language: English

Topic: Image Retrieval and Classification Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2396514571

FWCI: 1.077

Cites: 7

Cited by: 12

Related to: 10