Classification of binary insect images using fuzzy and gaussian artmap neural networks
Object recognition and classification is an essential routine in our daily lives. Our eyes act as a camera capturing the image of particular object and sending it to the brain to be recognized. Thus, the eye vision system inspires researchers to create machine vision systems. As a significant part...
Saved in:
Main Author: | Shahrul Nizam, Yaakob |
---|---|
Format: | Thesis |
Language: | English |
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/63439/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/63439/2/Full%20text.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of fish images based on shape characteristic
by: Mohd Wafi, Nasrudin -
A new computational method for Exact Zernike Moments (EZM) and its use in the design of blur index for out-of-focus images /
by: Lim, Chern Loon
Published: (2012) -
Development Of An Optical Character Recognition Function System For Integrated Circuit Label Classification Using Neural Network
by: Mariappan, Vasan
Published: (2008) -
Image classification using optimized synergetic neural network /
by: Taherzadeh, Ghazaleh
Published: (2013) -
Algorithms in invariant theory /
by: Wong, Look Kwang
Published: (1998)