Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images
Image Quality Assessment (IQA) is an imperative element in improving the effectiveness of an automatic wood recognition system. There is a need to develop a No-Reference-IQA (NR-IQA) system as a distortion free wood images are impossible to be acquired in the dusty environment in timber factories. T...
Saved in:
Main Authors: | Heshalini, Rajagopal, Norrima, Mokhtar, Anis Salwa, Mohd Khairuddin, Wan Khairunizam, Wan Ahmad, Zuwairie, Ibrahim, Asrul, Adam, Wan Amirul, Wan Mohd Mahiyidin |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
ALife Robotics Corp. Ltd.
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34331/7/Gray%20Level%20Co-Occurrence%20Matrix.pdf http://umpir.ump.edu.my/id/eprint/34331/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gray Level Co-Occurrence Matrix (GLCM) and Gabor features based No-Reference Image Quality Assessment for wood images
by: Rajagopal, Heshalini, et al.
Published: (2021) -
A no-reference image quality assessment metric for wood images
by: Heshalini, Rajagopal, et al.
Published: (2021) -
A no-reference image quality assessment metric for wood images
by: Rajagopal, Heshalini, et al.
Published: (2021) -
No-reference quality assessment for image-based assessment of economically important tropical woods
by: Rajagopal, Heshalini, et al.
Published: (2020) -
Application of image quality assessment module to motion-blurred wood images for wood species identification system
by: Rajagopal, Heshalini, et al.
Published: (2019)