Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery
Bird classification is an important task in computer vision problem. The problem is to classify the images from the set of training images. Birds in images may also appeared in different situation such as in different sizes, different pose and angle of view. Therefore, this project proposed a protot...
Saved in:
Main Author: | Nazery, Nur Amalina |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Online Access: | http://ir.uitm.edu.my/id/eprint/18231/2/TD_NUR%20AMALINA%20NAZERY%20CS%2017_5.pdf http://ir.uitm.edu.my/id/eprint/18231/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Color-based butterfly species identification using Support Vector Machine / Norina Arliana Sopiana
by: Norina Arliana Sopiana
Published: (2017) -
Traffic sign recognition based on color, shape, and pictogram classification using support vector machines
by: Madani, A., et al.
Published: (2018) -
Classification of tropical wood species using support vector machine
by: Zakaria, Noorsalzatul Azura
Published: (2010) -
Multi-level adaptive support vector machine classification for tropical tree species
by: Chew, W. C., et al.
Published: (2016) -
EDGE DETECTION FOR BUTTERFLY SPECIES CLASSIFICATION
USING SUPPORT VECTOR MACHINE (SVM)
by: Nor Hazirah, Mohd Tamin
Published: (2019)