The Role of the Complex Textural Microstructure Co-Occurrence Matrices, Based on Laws’ Features, in the Characterization and Recognition of Some Pathological Structures, From Ultrasound Images

International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems
doi 10.11601/ijates.v5i2.144
Full Text
Abstract

Available in full text

Date
Authors
Publisher

International Science and Engineering Society

Related search

Analysis and Characterization of Dendrite Structures From Microstructure Images of Material

International Journal of Research in Engineering and Technology
2015English

Hepatic Steatosis Detection Using the Co-Occurrence Matrix in Tomography and Ultrasound Images

2015English

Classification of Soil Textures Based on Laws Features Extracted From Preprocessing Images on Sequential and Random Windows

Bonfring International Journal of Advances in Image Processing
2011English

Fast and Accurate Object Detection Based on Binary Co-Occurrence Features

IPSJ Transactions on Computer Vision and Applications
Computer VisionPattern Recognition
2015English

Image Retrieval Based on Topological Features of Gray-Level Co-Occurrence Networks

Information Technology Journal
2012English

Higher-Order Co-Occurrence Features Based on Discriminative Co-Clusters for Image Classification

2012English

Recognition of Optical Images Based on the Feature Spectrum Entropy

International Journal on Computational Science & Applications
2014English

Indexing Satellite Images With Features Computed From Man-Made Structures on the Earth's Surface

2007English

Infrared Face Recognition Based on LBP Co-Occurrence Matrix and Partial Least Squares

International Journal of Wireless and Mobile Computing
Electronic EngineeringElectricalComputer Science
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy