Image segmentation by adaptive distance based on EM algorithm

Image segmentation by adaptive distance based on EM algorithm

This paper introduces a Bayesian image segmentation algorithm based on finite mixtures. An EM algorithm is developed to estimate parameters of the Gaussian mixtures. The finite mixture is a flexible and powerful probabilistic modeling tool. It can be used to provide a model-based clustering in the field of pattern recognition. However, the application of finite mixtures to image segmentation pr...

Mahalanobis distance based on fuzzy clustering algorithm for image segmentation

Image Contrast Enhancement Using Adaptive Inverse Hyperbolic Tangent Algorithm Based on Image Segmentation by Watershed Technology

The drawback of using a global operator is its inability in revealing image details of local luminance variation. On the contrary, the advantage of a local operator is its capability of revealing the details of luminance level information in an image. In the image enhancement technology, we have proposed local contrast enhancement based on Adaptive Inverse Hyperbolic Tangent Algorithm (AIHT), a...

Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging

We propose an automatic hybrid image segmentation model that integrates the statistical expectation maximization (EM) model and the spatial pulse coupled neural network (PCNN) for brain magnetic resonance imaging (MRI) segmentation. In addition, an adaptive mechanism is developed to fine tune the PCNN parameters. The EM model serves two functions: evaluation of the PCNN image segmentation and a...

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 ...