Please use this identifier to cite or link to this item:
https://dspace.upt.ro/xmlui/handle/123456789/3838
Title: | Fuzzy automatic classification and without a prior knowledge - mean shift application to MRI brain images segmentation [articol] |
Authors: | Moussaoui, A. Chen, V. |
Subjects: | Fuzzy c-means Mean shift Image segmentation |
Issue Date: | 2004 |
Publisher: | Timişoara : Editura Politehnica |
Citation: | Moussaoui, A.. Fuzzy automatic classification and without a prior knowledge - mean shift application to MRI brain images segmentation. Timişoara: Editura Politehnica, 2004 |
Series/Report no.: | Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 199-204 |
Abstract: | The objective of this paper is to propose a blind segmentation method able to localize all relevant objects in medical images by using a fuzzy classification based mean shift algorithm. To achieve this, we have to build a cartography of attributes consequent upon images characterization. The objects localization is realized by searching modes from a point sample distribution through mean shift procedure. In order to obtain an image automatic segmentation, the approach is joined at a fuzzy classification based fuzzy c-means (FCM) approach. The fuzzy insertion here allows to take into account imprecision related to information extraction which is necessary for a region classification. Actually, the obtained results by our approach are very encouraging and show an accurate segmentation compared to others supervised techniques. |
URI: | http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Fuzzy%20automatic%20classification%20and%20without%20a%20prior%20knowledge%20-%20mean%20shift%20application%20to%20MRI%20brain%20images%20segmentation&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BUPT_ART_Moussaoui_f.pdf | 638.12 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.