144 related articles for article (PubMed ID: 29064416)
1. A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images.
Gao H; Tang Y; Jing L; Li H; Ding H
Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 29064416
[TBL] [Abstract][Full Text] [Related]
2. Optimal segmentation scale selection and evaluation of cultivated land objects based on high-resolution remote sensing images with spectral and texture features.
Lu H; Liu C; Li N; Fu X; Li L
Environ Sci Pollut Res Int; 2021 Jun; 28(21):27067-27083. PubMed ID: 33501583
[TBL] [Abstract][Full Text] [Related]
3. Object-based multiscale segmentation incorporating texture and edge features of high-resolution remote sensing images.
Shen X; Guo Y; Cao J
PeerJ Comput Sci; 2023; 9():e1290. PubMed ID: 37346590
[TBL] [Abstract][Full Text] [Related]
4. Hierarchical multiple Markov chain model for unsupervised texture segmentation.
Scarpa G; Gaetano R; Haindl M; Zerubia J
IEEE Trans Image Process; 2009 Aug; 18(8):1830-43. PubMed ID: 19447707
[TBL] [Abstract][Full Text] [Related]
5. Unsupervised morphological segmentation of tissue compartments in histopathological images.
Fouad S; Randell D; Galton A; Mehanna H; Landini G
PLoS One; 2017; 12(11):e0188717. PubMed ID: 29190786
[TBL] [Abstract][Full Text] [Related]
6. Information Extraction of High Resolution Remote Sensing Images Based on the Calculation of Optimal Segmentation Parameters.
Zhu H; Cai L; Liu H; Huang W
PLoS One; 2016; 11(6):e0158585. PubMed ID: 27362762
[TBL] [Abstract][Full Text] [Related]
7. Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI.
Ozer S; Langer DL; Liu X; Haider MA; van der Kwast TH; Evans AJ; Yang Y; Wernick MN; Yetik IS
Med Phys; 2010 Apr; 37(4):1873-83. PubMed ID: 20443509
[TBL] [Abstract][Full Text] [Related]
8. 3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images.
Salman Al-Shaikhli SD; Yang MY; Rosenhahn B
Biomed Tech (Berl); 2016 Aug; 61(4):401-12. PubMed ID: 26501155
[TBL] [Abstract][Full Text] [Related]
9. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
Belhassen S; Zaidi H
Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
[TBL] [Abstract][Full Text] [Related]
10. Feature adaptive co-segmentation by complexity awareness.
Meng F; Li H; Ngan KN; Zeng L; Wu Q
IEEE Trans Image Process; 2013 Dec; 22(12):4809-24. PubMed ID: 23955762
[TBL] [Abstract][Full Text] [Related]
11. Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery.
Belgiu M; Dr Guţ L
ISPRS J Photogramm Remote Sens; 2014 Oct; 96():67-75. PubMed ID: 25284960
[TBL] [Abstract][Full Text] [Related]
12. Semantic Segmentation of Natural Materials on a Point Cloud Using Spatial and Multispectral Features.
Jurado JM; Cárdenas JL; Ogayar CJ; Ortega L; Feito FR
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32326663
[TBL] [Abstract][Full Text] [Related]
13. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.
Lu P; Xia J; Li Z; Xiong J; Yang J; Zhou S; Wang L; Chen M; Wang C
Biomed Eng Online; 2016 Nov; 15(1):120. PubMed ID: 27825346
[TBL] [Abstract][Full Text] [Related]
14. Unsupervised segmentation, clustering, and groupwise registration of heterogeneous populations of brain MR images.
Ribbens A; Hermans J; Maes F; Vandermeulen D; Suetens P
IEEE Trans Med Imaging; 2014 Feb; 33(2):201-24. PubMed ID: 23797244
[TBL] [Abstract][Full Text] [Related]
15. Remote Sensing Image Classification Using the Spectral-Spatial Distance Based on Information Content.
Chen S; Zhang H; Sun T; Zhao J; Guo X
Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30322064
[TBL] [Abstract][Full Text] [Related]
16. [An unsupervised method of extracting constructions from color remote sensed image based on mean shift and neutrosophic set].
Yu B; Niu Z; Wang L; Liu YQ; Chen F
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Apr; 33(4):1071-5. PubMed ID: 23841431
[TBL] [Abstract][Full Text] [Related]
17. Unsupervised spectral-spatial feature selection-based camouflaged object detection using VNIR hyperspectral camera.
Kim S
ScientificWorldJournal; 2015; 2015():834635. PubMed ID: 25879073
[TBL] [Abstract][Full Text] [Related]
18. Probabilistic Segmentation of Mass Spectrometry (MS) Images Helps Select Important Ions and Characterize Confidence in the Resulting Segments.
Bemis KD; Harry A; Eberlin LS; Ferreira CR; van de Ven SM; Mallick P; Stolowitz M; Vitek O
Mol Cell Proteomics; 2016 May; 15(5):1761-72. PubMed ID: 26796117
[TBL] [Abstract][Full Text] [Related]
19. Segmentation Scale Effect Analysis in the Object-Oriented Method of High-Spatial-Resolution Image Classification.
Hao S; Cui Y; Wang J
Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883938
[TBL] [Abstract][Full Text] [Related]
20. Entropy based unsupervised Feature Selection in digital mammogram image using rough set theory.
Velayutham C; Thangavel K
Int J Comput Biol Drug Des; 2012; 5(1):16-34. PubMed ID: 22436296
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
