A Selective Markovianity Approach for Image Segmentation
A new Markovianity approach is introduced in this
paper. This approach reduces the response time of classic Markov
Random Fields approach. First, one region is determinated by a
clustering technique. Then, this region is excluded from the study.
The remaining pixel form the study zone and they are selected for a
Markovianity segmentation task. With Selective Markovianity
approach, segmentation process is faster than classic one.
@article{"International Journal of Information, Control and Computer Sciences:59724", author = "A. Melouah and H. Merouani", title = "A Selective Markovianity Approach for Image Segmentation", abstract = "A new Markovianity approach is introduced in this
paper. This approach reduces the response time of classic Markov
Random Fields approach. First, one region is determinated by a
clustering technique. Then, this region is excluded from the study.
The remaining pixel form the study zone and they are selected for a
Markovianity segmentation task. With Selective Markovianity
approach, segmentation process is faster than classic one.", keywords = "Markovianity, response time, segmentation,
study zone.", volume = "1", number = "6", pages = "1745-3", }