Image Segmentation Based on Spatially Coherent Gaussian Mixture Model

Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

It has been demonstrated that a finite mixture model (FMM) with Gaussian distribution is a powerful tool in modeling probability density function of image data, with wide applications in computer vision and image analysis. We propose a simple-yet-effective way to enhance robustness of finite mixture models (FMM) by incorporating local spatial constraints. It is natural to make an assumption that the label of an image pixel is influenced by that of its neighboring pixels. We use mean template to represent local spatial constraints. Our algorithm is better than other mixture models based on Markov random fields (MRF) as our method avoids inferring the posterior field distribution and choosing the temperature parameter. We use the expectation maximization (EM) algorithm to optimize all the model parameters. Besides, the proposed algorithm is fully free of empirically adjusted hyperparameters. The idea used in our method can also be adopted to other mixture models. Several experiments on synthetic and real-world images have been conducted to demonstrate effectiveness, efficiency and robustness of the proposed method. © 2014 IEEE.
Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781479954094
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Novotel Wollongong Northbeach Hotel, Wollongong, Australia
Duration: 25 Nov 201427 Nov 2014
https://ssl.informatics.uow.edu.au/dicta2014/

Conference

Conference2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CityWollongong
Period25/11/1427/11/14
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is an International Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established as a biennial conference in 1991 and became an annual event in 2007. It is the premier conference of the Australian Pattern Recognition Society (APRS).
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