Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Sky image classification is crucial in meteorology to forecast weather and climatic conditions. The fine-grained cloud detection and recognition (FGCDR) algorithm is use to extract colour, inside texture and neighbour texture features from multiview of superpixels sky images. However, the FGCDR prod...
Saved in:
Main Author: | Petwan, Montha |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2023
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/10897/1/permission%20to%20deposit-grant%20the%20permission-s902039.pdf https://etd.uum.edu.my/10897/2/s902039_01.pdf https://etd.uum.edu.my/10897/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An adaptive ant colony optimization algorithm for rule-based classification
by: Al-Behadili, Hayder Naser Khraibet
Published: (2020) -
Ant colony algorithm for web page classification
by: Moayed, Majid Javid, et al.
Published: (2008) -
Ant colony algorithm for capacitated vehicle routing problem
by: Johar, Farhana, et al.
Published: (2018) -
Plant leaf recognition algorithm using ant colony-based feature extraction technique
by: Ghasab, Mohammad Ali Jan
Published: (2013) -
Ant colony optimization algorithm for rule based classification: Issues and potential
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2018)