JOURNAL ARTICLE

Content based Image Retrieval using Color and Texture

Tasneem MirzaRishabh IndoriaGeet DalwaniKrish Jain

Year: 2016 Journal:   International Journal of Computer Applications Vol: 141 (7)Pages: 5-8

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.

Keywords:
Computer science Texture (cosmology) Content-based image retrieval Artificial intelligence Image retrieval Computer vision Information retrieval Image (mathematics) Pattern recognition (psychology)

Metrics

12
Cited By
1.00
FWCI (Field Weighted Citation Impact)
8
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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