Title :
Towards Automatic Image Modificiation as an Emperical Test of Image Segmentation
Author :
McCann, Sancho ; Baltes, Jacky
Author_Institution :
Dept. of Comput. Sci., Manitoba Univ., Winnipeg, Man.
Abstract :
This paper tests an implementation of the data driven Markov chain Monte Carlo image segmentation procedure used by Tu and Zhu. The test we use is a new empirical test based on the ability of an application to make certain types of modifications to the image based on the segmentation results
Keywords :
Markov processes; Monte Carlo methods; image segmentation; Markov chain; Monte Carlo method; automatic image modificiation; image segmentation; Automatic testing; Bayesian methods; Clustering algorithms; Clustering methods; Computer science; Humans; Image edge detection; Image segmentation; Monte Carlo methods; Pixel;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345312
