Image Segmentation by MAP-ML Estimations

Image Segmentation By Self Organizing Map With Mahalanobis Distance

Image segmentation is the classification of data sets into group of similar data points. This article proposed a method to determine the winner unit by self organizing mapping network. The distance between the input vector and the weight vector has been determined by mahalanobis distance and chooses the unit whose weight vector has the smallest mahalanobis distance from the input vector. The re...

Enhanced lane: interactive image segmentation by incremental path map construction

Live-wire type techniques for interactive image segmentation are of practical use for various applications such as medical image analysis, digital image composition, etc. Intelligent scissors [5] and live wire [8] are the representative techniques of this type, which are based on a graph search over an entire image. Another technique called live lane [8] is also based on a graph search but loca...

Li : Map Image Restoration and Segmentation by Constrained Optimization 3

A Parallel Topological Map for Image Segmentation

We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithms like that proposed by Kohonen or Bertsch. The main difference to known algorithms is the inversion of the learning step. This makes it possible that a neural net can be seen as a cellular automaton. A neurone learns from its neighbours instead of teaching them the new value they ...

Map Segmentation by Colour Cube

Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum number of segmentation areas in an image when it contains similar and/or unstationary texture fields. In this work, a method is described for evolving adaptive procedures for these problems. In many real world applicatio...