| Constrained connectivity for hierarchical image decomposition and simplification. | |
| | |
MedLine Citation:
|
PMID: 18550898 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
This paper introduces an image decomposition and simplification method based on the constrained connectivity paradigm. According to this paradigm, two pixels are said to be connected if they comply to a series of constraints defined in terms of simple measures such as the maximum grey level differences over well-defined pixel paths and regions. The resulting connectivity relation generates a unique partition of the image definition domain. The simplification of the image is then achieved by setting each segment of the partition to the mean value of the pixels falling within this segment. Fine to coarse partition hierarchies (and therefore images of increasing degree of simplification) are produced by varying the threshold value associated with each connectivity constraint. The paper also includes a generalisation to multichannel images, applications, a review of related image segmentation techniques, and pseudo-code for an implementation based on queue and stack data structures. |
| | |
Authors:
|
Pierre Soille |
Related Documents
:
|
17695128 - Real-time vessel segmentation and tracking for ultrasound imaging applications. 15829098 - Image segmentation by networks of spiking neurons. 12034338 - Segmentation techniques for tissue differentiation in mri of ophthalmology using fuzzy ... 18979758 - Joint segmentation of thalamic nuclei from a population of diffusion tensor mr images. 20820208 - Development of microperiodic mirrors for hard x-ray phase-contrast imaging. 16983408 - Electrical-contact-free readout of the response of superconductive bolometer arrays usi... |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: IEEE transactions on pattern analysis and machine intelligence Volume: 30 ISSN: 0162-8828 ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Publication Date: 2008 Jul |
Date Detail:
|
Created Date: 2008-06-13 Completed Date: 2008-07-10 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9885960 Medline TA: IEEE Trans Pattern Anal Mach Intell Country: United States |
Other Details:
|
Languages: eng Pagination: 1132-45 Citation Subset: IM |
Affiliation:
|
Spatial Data Infrastructures Unit, Institute for Environment and Sustainability, Joint Research Centre of the European Commission, Ispra, Italy. Piere.Soille@jrc.it |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms* Artificial Intelligence* Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Information Storage and Retrieval / methods Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Bayes classification of online arabic characters by Gibbs modeling of class conditional densities.
Next Document: TRUST-TECH-based expectation maximization for learning finite mixture models.