Object-oriented Image Analysis by Evaluating the Causal Object Hierarchy of a Partitioned Reconstructive Scale-space

نویسندگان

  • V. Metzler
  • T. Aach
  • C. Thies
چکیده

Mathematical morphology interprets images as unions of individually shaped and superpositioned coherent structures. Within this framework, reconstruction filters preserve shapes of image structures that correspond to given base structures, while other structures are removed. This shape-selective transform enables consistent processing of visually perceivable image structures, e.g. of those image entities that have a semantic interpretation for a specific observer in a certain context. Such content-based processing can be regarded as being object-oriented. Also, it is commonly accepted that high-level image processing needs to consider appropriate ranges of scales. For these reasons, a morphological multiscale approach to object-oriented image analysis is established by a reconstructive scale-space preserving the inflection contours of an image, each of which represents a distinct object. Towards coarser scales the objects merge in a causal way and finally form a completely partitioned scale-space with an inclusion relation between fine and coarse objects. This object hierarchy is transformed into a relational database representing properties and inter-scale relations of independent objects by invariant attributes and inclusions, respectively. It serves as interface to a rule-based expert system that evaluates observer-specified queries automatically by selecting optimal sets of objects regarding the scale-behavior of their descriptive attributes. The object-oriented im∗correspondence: [email protected], Phone: +49 451 3909 559 (Fax: -555) H. Talbot, R. Beare (Eds): Proceedings of ISMM2002 Redistribution rights reserved CSIRO Publishing. ISBN 0 643 06804 X 265 age analysis already yielded promising results for various clinical tasks concerning macroscopic and microscopic medical images.

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

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

متن کامل

Object-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest

This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...

متن کامل

Change Detection Gamasiab River Margins in Kermanshah by Comparison Pixel Base and Object Orientd Algorithms

Introduction Land use reflects the interactive characteristics of humans and the environment and describes how human exploitation works for one or more targets on the ground. Land use is usually defined on the basis of human use of the land, with an emphasis on the functional role of land in economic activities. Land use, which is associated with human activity, is undergoing change over time....

متن کامل

Analysis Accruing of Sentinel 2A Image’s Classification Methods Based on Object Base and Pixel Base in Flood Area Zoning of Taleqan River

Flood zonation mapping is one of the priorities for the soil and water management, which Remote Sensing (RS) capabilities are very applicable to this issue. The main objective of this research was study of accuracy of the Object oriented and Pixel based methods for flood zonation mapping in the Taleghan River basin. Therefore, the Sentinel 2A satellite image of the study area classified using s...

متن کامل

Micro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation

Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characte...

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 2002