Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains

N Tadi Bani, S Fekri-Ershad - The electronic library, 2019 - emerald.com
Purpose Large amount of data are stored in image format. Image retrieval from bulk
databases has become a hot research topic. An alternative method for efficient image …

Automatic stones classification through a CNN-based approach

M Tropea, G Fedele, R De Luca, D Miriello… - Sensors, 2022 - mdpi.com
This paper presents an automatic recognition system for classifying stones belonging to
different Calabrian quarries (Southern Italy). The tool for stone recognition has been …

Multiple moving object detection from UAV videos using trajectories of matched regional adjacency graphs

B Kalantar, SB Mansor, AA Halin… - … on Geoscience and …, 2017 - ieeexplore.ieee.org
Image registration has been long used as a basis for the detection of moving objects.
Registration techniques attempt to discover correspondences between consecutive frame …

Adjacent evaluation of local binary pattern for texture classification

K Song, Y Yan, Y Zhao, C Liu - Journal of Visual Communication and …, 2015 - Elsevier
This paper presents a novel, simple, yet robust texture descriptor against noise named the
adjacent evaluation local binary patterns (AELBP) for texture classification. In the proposed …

[PDF][PDF] Semantic image retrieval: An ontology based approach

U Manzoor, MA Balubaid, B Zafar, H Umar… - International Journal of …, 2015 - academia.edu
Images/Videos are major source of content on the internet and the content is increasing
rapidly due to the advancement in this area. Image analysis and retrieval is one of the active …

Ontology-based semantic image segmentation using mixture models and multiple CRFs

M Zand, S Doraisamy, AA Halin… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Semantic image segmentation is a fundamental yet challenging problem, which can be
viewed as an extension of the conventional object detection with close relation to image …

Steerable wavelet machines (SWM): learning moving frames for texture classification

A Depeursinge, Z Püspöki, JP Ward… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
We present texture operators encoding class-specific local organizations of image directions
(LOIDs) in a rotation-invariant fashion. The LOIDs are key for visual understanding, and are …

Interactive Biogeography Particle Swarm Optimization for Content Based Image Retrieval

D Dubey, GS Tomar - Wireless Personal Communications, 2019 - Springer
In this paper, we propose biogeography particle swarm optimization (BPSO) approach for
content based image retrieval using low-level features like color and texture. This approach …

Image retrieval of wool fabric. Part I: Based on low-level texture features

N Zhang, J Xiang, L Wang, W Gao… - Textile Research …, 2019 - journals.sagepub.com
With huge and ever-growing products in the factory, image retrieval can help the worker
retrieve the same, or similar, existing products rapidly and accurately to guide production. In …

Efficient iris recognition through curvelet transform and polynomial fitting

R Vyas, T Kanumuri, G Sheoran, P Dubey - Optik, 2019 - Elsevier
This paper presents a new feature descriptor for iris recognition. The descriptor makes use
of the wedge-shaped sub-bands of the curvelet transform, which allow it to cover the …