Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model

Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model

The combination of positron emission tomography (PET) and CT images provides complementary functional and anatomical information of human tissues and it has been used for better tumor volume definition of lung cancer. This paper proposed a robust method for automatic lung tumor segmentation on PET/CT images. The new method is based on fuzzy Markov random field (MRF) model. The combination of PE...

Cluster-Based Image Segmentation Using Fuzzy Markov Random Field

Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...

Automatic Segmentation of Lip Images Based on Markov Random Field

This paper addresses the problem of lip segmentation in color space that is a crucial issue to a successful lip-reading system. We present a new segmentation approach to lip contour extraction by taking account of the maximum a posterior Markov random field (MAPMRF) framework. We first examine various color models and select a simple color transform derived from LUX and 1976 CIELAB color space ...

cluster-based image segmentation using fuzzy markov random field

image segmentation is an important task in image processing and computer vision which attract many researchers attention. there are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. markov random field (mrf) is a tool for modeling statistical and structural inf...

Segmentation of magnetic resonance images using fuzzy Markov random fields