A DCT probability histogram-based ROI features for content-based natural and medical image retrieval applications-Reference-Cited by-同舟云学术

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A DCT probability histogram-based ROI features for content-based natural and medical image retrieval applications

Published:2023-09 Issue: Volume:141 Page:104152
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Pradhan Jitesh^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference59 articles.

1. Indexing via color histograms;Swain,1992

2. Wavelet correlogram: a new approach for image indexing and retrieval;Moghaddam;Pattern Recognit.,2005

3. Image retrieval using spatiograms of colors quantized by gaussian mixture models;Zeng;Neurocomputing,2016

4. Ictedct-cbir: integrating curvelet transform with enhanced dominant colors extraction and texture analysis for efficient content-based image retrieval;Youssef;Comput. Electr. Eng.,2012

5. Rotation invariant textural feature extraction for image retrieval using eigen value analysis of intensity gradients and multi-resolution analysis;Gupta;Pattern Recognit.,2013

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1. Deep Neural Networks Based Feature Extraction with CBIR: An Exhaustive Analysis;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11

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