Features' value range approach to enhance the throughput of texture classification-Reference-Cited by-同舟云学术

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Features' value range approach to enhance the throughput of texture classification

Published:2020-12-06 Issue:1 Volume:15 Page:28-46
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Akoushideh Alireza¹^ORCID,Maybodi Babak Mazloom‐Nezhad²,Shahbahrami Asadollah³^ORCID

Affiliation:

1. Department of Electronic Engineering Faculty of Shahid‐Chamran Technical and Vocational University (TVU) Guilan Branch Rasht Iran

2. Electrical and Computer Department University of Shahid Beheshti G. C. Tehran Iran

3. Computer Engineering Department University of Guilan Rasht Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12003

Reference38 articles.

1. Breast tumor classification in ultrasound images using texture analysis and super-resolution methods

2. Nature inspired dimensional reduction technique for fast and invariant visual feature extraction;Bandara R.;CoRR,2019

3. Fabric defect detection for apparel industry: A nonlocal sparse representation approach;Tong L.;IEEE Access,2017

4. Accelerating Texture Features Extraction Algorithms Using FPGA Architecture

5. High performance implementation of texture features extraction algorithms using FPGA architecture

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