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231224s2017 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2016.2621670
|2 doi
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|a pubmed24n0894.xml
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Chunming Zhang
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Fast Threshold Image Segmentation Based on 2D Fuzzy Fisher and Random Local Optimized QPSO
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| 264 |
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|c 2017
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 30.07.2018
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| 500 |
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|a Date Revised 30.07.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a In the paper, a real-time segmentation method that separates the target signal from the navigation image is proposed. In the approaching docking stage, the navigation image is composed of target and non-target signal, which are separately bright spot and space vehicle itself. Since the non-target signals is the main part of the navigation image, the traditional entropy-related criterions and Ostu-related criterions will bring inadequate segmentation, while the mere 2D Fisher criterion will causes over-segmentation, all the methods show their shortages in dealing with this kind of case. To guarantee a precise image segmentation, a revised 2D fuzzy Fisher is proposed in the paper to make a trade-off between positioning target regions and retaining target fuzzy boundaries. First, to reduce redundant computations in finding the threshold pair, a 2D fuzzy Fisher criterion-based integral image is established by way of simplifying the corresponding fuzzy domains. Then, to quicken the convergence, a random orthogonal component is added in its quasi-optimum particle to enhance its local searching capacity in each iteration. Experimental results show its competence of quick segmentation
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Yongchun Xie
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Da Liu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li Wang
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 26(2017), 3 vom: 15. März, Seite 1355-1362
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g volume:26
|g year:2017
|g number:3
|g day:15
|g month:03
|g pages:1355-1362
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|u http://dx.doi.org/10.1109/TIP.2016.2621670
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