UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Segmentation of natural scenes is an essential task in image processing. It finds a place in many image applications such as retrieval, indexing, classification, surveillance and content-based image retrieval. However, there is clear lack of image segmentation techniques in the literature studies re...
Saved in:
Main Author: | MOHAMMAD SAMEER ALOUN |
---|---|
Format: | Thesis |
Language: | English |
Online Access: | http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16019/1/Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16019/2/Full%20Thesis%20-%20MOHAMMAD%20SAMEER%20ALOUN.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Natural image segmentation using color and texture /
by: Wang, Bin
Published: (1999) -
Enhancing coral growth on artificial reefs by electro deposition reef
by: Mohd., Adil
Published: (2012) -
Automatic classification and recognition of coral reefs from underwater video images
by: Leng, Wong Siew -
Color image segmentation using neural networks /
by: Cao, Demei
Published: (1996) -
Effects of sediment load on coral reefs of Singapore /
by: Dikou, Angela
Published: (2001)