Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.12 Issue.1

Submission
Last date
28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval
PaperId: :  4912
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4912
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ruchi KapadiaL J Institute of Engineering and Technology
Mr.Swarndeep Saket J L J Institute of Engineering and Technology

Abstract

Image Processing
CBIR, Support Vector Machine, Feature Extraction, Precision, Recall, Similarity measure, Ant colony Optimization.
Content Based Image Retrieval (CBIR) is a very important and increasingly popular approach that helps in the retrieval of image data from a huge collection of Image. Image representation based on certain features helps in retrieval process. Content-based image retrieval technique is in huge demand for few domains like Weather forecasting, data mining, remote sensing, medical imaging, education, crime prevention and management of earth resources. Content Based Image Retrieval (CBIR) is process to find similar image data in the large amount of image database when a query image is given by user. A user gives input to the system in the form of specified query image and system return set of relevant images related to query image. In this report we analyze different Content Based Image Retrieval techniques and their comparative study. Image retrieval process and improve visual similarity search in content-based image retrieval many studies have been conducted and many methods developed in recent years, but there are a few issues that need to be addressed. Color, shape and texture feature are extracted from the image. To improve accuracy in terms of Precision and Recall, Ant colony Optimization (ACO) algorithm and Support Vector Machine (SVM) method is used in proposed model.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 5695-5702
MLA Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 5695-5702.
APA Ruchi Kapadia, & Mr.Swarndeep Saket J . (2017). Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 5695-5702.
Chicago Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 5695-5702.
Oxford Ruchi Kapadia, and Mr.Swarndeep Saket J . 'Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 5695-5702. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf (Accessed : ).
Harvard Ruchi Kapadia, and Mr.Swarndeep Saket J . (2017) 'Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 5695-5702IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf (Accessed : )
IEEE Ruchi Kapadia, and Mr.Swarndeep Saket J , "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 5695-5702, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf [Accessed : ].
Turabian Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver Ruchi Kapadia, and Mr.Swarndeep Saket J . Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 5695-5702. Available from: http://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2026. IJARIIE. All Rights Reserved.