Amanote Research

Amanote Research

  • Register
  • Sign In

Local Quantized Extrema Patterns for Content-Based Natural and Texture Image Retrieval

Human-centric Computing and Information Sciences- United States

doi 10.1186/s13673-015-0044-z

Full Text

Abstract

Available in

Categories

Computer Science

Date

September 2, 2015

Authors

L. Koteswara RaoD. Venkata Rao

Publisher

Springer Science and Business Media LLC


Related search

Content-Based Image Retrieval Using Texture Structure Histogram

2013English

Image Retrieval Using Quantized Local Binary Pattern

International Journal of Computer Applications
2016English

Local Feature for Content-Based Fire Warning Image Retrieval Method

DEStech Transactions on Materials Science and Engineering
2017English

Content-Based Texture Image Retrieval Using the Lempel-Ziv-Welch Algorithm

2006English

Fusion of Local and Global Descriptors for Content-Based Image and Video Retrieval

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Skeleton Based Signatures for Content Based Image Retrieval

International Journal of Computer Applications
2011English

Content-Based Image Retrieval Based on Late Fusion of Binary and Local Descriptors

2017English

Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2019Spanish

Content Based Image Retrieval for Unlabelled Images

IOSR Journal of Computer Engineering
2013English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy