Bayesian inference for multiband image segmentation via model-based cluster trees

Bayesian Inference for Color Image Quantization via Model-Based Clustering Trees

\Ve consider the problem of color image quantization, or clustering of the color space. vVe propose a new methodology for doing this, called model-based clustering trees. This is grounded in model-based clustering, which bases inference on finite mixture models estimated by maximum likelihood using the EM algorithm, and automatically chooses the number of clusters by Bayesian model selection, a...

Variations on Markovian Quadtree Model for Multiband Astronomical Image Analysis

This paper is concerned with the analysis of multispectral observations, provided by space or ground telescopes. The large amount and the complexity of heterogeneous data to analyse lead us to develop new methods for segmentation tasks, which aim to be robust, fast and efficient. Some prior knowledge on the information to be extracted from the original image is available, and Bayesian statistic...

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...

Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

Bayesian Inferen e for Color Image Quantization via Model-Based Clustering Trees