An enhanced markov random field (MRF) based approach for image segregation
The main objective of this thesis is to present an alternative technique to enhance the depth segregation of a 2D monocular image using Markov Random Field (MRF). Depth segregation considered challenging task due to an extensive segment of nonrigidity and textural contrasts among objects. Object...
Saved in:
Format: | Thesis |
---|---|
Language: | English |
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/76657/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/76657/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/76657/3/Declaration%20Form.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image segmentation method for boundary detection of breast thermography using random walkers
by: Moghbel, Mehrdad
Published: (2013) -
Image contrast enhancement based on the intensity of regions' pixels /
by: Haithami, Mahmood Salah
Published: (2018) -
Denoising of digital images using second generation wavelet transforms-hidden markov model
by: Khmag, Asem Ib Mohamed
Published: (2016) -
Estimating the rate of convergence of Markov chains /
by: Gooi, Kee Mein
Published: (1991) -
Some problems relating to semi-Markov theory /
by: Ee, Soo Mei
Published: (1971)