Minimum Description Length for shape-based segmentation of seabed images

نویسندگان

  • Laure Amate
  • Maria-João Rendas
چکیده

SHORT ABSTRACT: The paper is a contribution to the problem of producing sensor-specific seabed maps, that describe the morphological features of each different region in the area considered. It applies the Minimum Description Length (MDL) principle to identify the dimensionality of a statistical shape model that describes them. Our shape model combines the finite-dimensional representation of continuous curves with the notion of shape space as introduced by Kendall to obtain a finite representation of closed curves with a prespecified set of invariances. The work presented can be considered as an extension of previous work by other authors which use MDL to adjust the complexity of a spline representation to a single contour present in an image, while we use MDL to adjust the complexity of a statistical model for the spline representation of a set of contours.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiscale Image Segmentation Using Joint Texture and Shape Analysis

We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke the powerful framework ooered by minimum description length (MDL). This framework dictates that multiscale segmentation comprises multiscale texture characterization and multiscale shape coding. An...

متن کامل

Mdl Based Interpretation for Overlapping Cell Nuclei in Histological Images

In this extended abstract we present our current work concerning the development of minimum description length (MDL) principle based solutions for medical image segmentation problems. Our application is the interpretation of overlapping nuclei in histological images in terms of individual nuclei within a parametric shape family. MDL is a well suited approach for this application as MDL provides...

متن کامل

Region Segmentation via Deformable Model-Guided Split and Merge

An improved method for deformable shape-based image segmentation is described. Image regions are merged together and/or split apart, based on their agreement with an a priori distribution on the global deformation parameters for a shape template. Perceptually-motivated criteria are used to determine where/how to split regions, based on the local shape properties of the region group’s bounding c...

متن کامل

Coding theoretic approach to image segmentation

This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen’s coding theoretic minimum description length (MDL) principle to penalize overly complex segmentations. Images are modelled as Gaussian random fields of independent pixels, with piecewise constant mean and variance. This model captures variations in both intensity (mean value) and texture (variance). S...

متن کامل

Segmenting Images Corrupted by Correlated Noise

Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of nonoverlapping homogeneous regions. The main contribution of this paper is the development of a new segmentation procedure which is designed to segment images corrupted by correlated noise. This new segmentation procedure is based on Rissanen’s minimum description length (MDL) p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006