COMBINING REGION AND EDGE CUES FOR IMAGE SEGMENTATION

COMBINING REGION AND EDGE CUES FOR IMAGE SEGMENTATION

IN A PROBABILISTIC GAUSSIAN MIXTURE FRAMEWORK

LAP Lambert Academic Publishing ( 2010-09-14 )

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The purpose of image segmentation is to divide the image into meaningful objects, by assigning each pixel element to one of these objects. Although image segmentation is important in many applications, it remains one of the most difficult tasks in image processing. These algorithms are usually based on one of two approaches: Patch-based (similarity based) approach or Boundary-based (dissimilarity based) approach and therefore, enjoys the benefit of one while not enjoying the benefits of the other. This book focuses on a new segmentation algorithm, which combines patch-based information with edge clues under a probabilistic framework. We use multiple Gaussians for building a statistical model with colour and location features, and we incorporate edge information based on texture, colour and brightness differences into the EM algorithm. We examine several (modified) edge detectors and edge inclusion methods and evaluate our results qualitatively and quantitatively on a large dataset of natural images. Examples for biomedical applications are provided. This book should be of use to professionals and students in the fields of computer vision and image segmentation.

Book Details:

ISBN-13:

978-3-8383-2945-1

ISBN-10:

3838329457

EAN:

9783838329451

Book language:

English

By (author) :

Omer Rotem

Number of pages:

72

Published on:

2010-09-14

Category:

Electronics, electro-technology, communications technology