Rotation invariant bin detection and solid waste level classification
In this paper, a solid waste bin detection and waste level classification system that is rotation invariant is presented. First, possible locations and orientations of the bin are detected using Hough line detection. Then cross correlation is calculated to differentiate the true bin position and ori...
Saved in:
Main Authors: | Aziz, F., Arof, Hamzah, Mokhtar, Norrima, Mubin, Marizan, Abu Talip, Mohamad Sofian |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2015
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/14033/1/Rotation_invariant_bin_detection_and_solid_waste_level_classification.pdf http://eprints.um.edu.my/14033/ http://www.sciencedirect.com/science/article/pii/S0263224114006253 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Waste level detection and HMM based collection scheduling of multiple bins
by: Aziz, Fayeem, et al.
Published: (2018) -
Completed Local Ternary Pattern for Rotation Invariant Texture Classification
by: Rassem, Taha H., et al.
Published: (2014) -
Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network
by: Raveendran, P., et al.
Published: (2000) -
Automatic Cryptosporidium And Giardia Viability Detection in Treated Water
by: Shahriar, Badsha, et al.
Published: (2013) -
Efficient translation, rotation, and scale invariants of discrete Tchebichef moments
by: Pee, Chih-Yang, et al.
Published: (2021)