A novel fast image segmentation algorithm for large topographic maps

Neurocomputing

Volumn 168, Issue , 2015, Pages 808-822

  Miao, Qiguang ^a   Xu, Pengfei ^b   Liu, Tiange ^a   Song, Jianfeng ^a   Chen, Xiaojiang ^b  

^a XIDIAN UNIVERSITY   (China)

^b NORTHWEST UNIVERSITY   (China)

Author keywords

Fuzzy classification; Image segmentation; Large topographic maps; Multilevel image fusion; Randomized sampling

Indexed keywords

ALGORITHMS; FUZZY SYSTEMS; IMAGE FUSION; IMAGE SAMPLING; MAPS;

FUZZY C MEANS CLUSTERING; FUZZY CLASSIFICATION; FUZZY CLASSIFICATION METHODS; IMAGE SEGMENTATION ALGORITHM; MULTI-LEVEL FUSIONS; RANDOMIZED SAMPLING; SEGMENTATION METHODS; TOPOGRAPHIC MAP;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; FUZZY SYSTEM; GEOGRAPHIC MAPPING; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGE SEGMENTATION ALGORITHM; MULTILEVEL IMAGE FUSION; PRIORITY JOURNAL;

EID: 84937818307     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.05.043     Document Type: Article

References (26)

1. Pezeshk A., Tutwiler R.L. Automatic feature extraction and text recognition from scanned topographic maps. IEEE Trans. Geosci. Remote Sens. 2011, 49(12):5047-5063.
2. Zheng H.L., Zh Zhou X., Wang J.Y. Automatic color segmentation of topographic maps based on the combination of spatial relation information and color information. J. Image Graphics 2003, 8(3):334-340.
3. A. Khotanzad, E. Zink, Color paper map segmentation using eigenvector line-fitting , in: Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 1996 1996, pp. 190-194.
4. Zheng H.L., Zhou Zh.X., Wang J.Y. Automatic color segmentation of topographic maps based on color space transformation and fuzzy restraint clustering. Acta Geodaet Ica Et Cartographica Sinica 2003, 32(2):183-187.
5. Mignotte M. Segmentation by fusion of histogram-based K-means clusters in different color spaces. IEEE Trans. Image Process. 2008, 17(5):780-787.
6. Khotanzad A., Zink E. Contour line and geographic feature extraction from USGS color topographical paper maps. IEEE Trans. Pattern Anal. Mach. Intell. 2003, 25(1):18-31.
7. K. Sh. Wang, Color image segmentation based on color similarity, in: Proceedings of International Conference on Computational Intelligence and Software Engineering, CISE 2009, 2009, pp. 1-4.
8. Zhou X.G., Ch Xing H. Topographic map segmentation based on genetic fuzzy C-means clustering algorithm. Comput. Digital Eng. 2005, 33(6):77-78.
9. Martha T.R., Kerle N., van Westen C.J., Jetten V., Kumar K.V. Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis. IEEE Trans. Geosci. Remote Sens. 2011, 49(12). 4928-1923.
10. Yang C.K., Tsai W.H. Reduction of color space dimensionality by moment serving thresholding and its application for edge detection in color images. Pattern Recognit. Lett. 1996, 17(5):481-490.
11. B. Lauterbach, W. Anheier, Segmentation of Scanned Maps in Uniform Color Spaces MVA'94 IAPR Workshop on Machine Vision Applications, Kawasaki, 1994,vol. 12, pp. 322-325.
12. Levachkine S., Velázquez A., Alexandrov V., Kharinov M. Semantic analysis and recognition of raster-scanned color cartographic images. Graphics Recognit. Algorithms Appl.. 2390 2002, 178-189.
13. Khotanzad A., Bouarfa A. Image segmentation by a parallel, non-parametric histogram based clustering algorithm. Pattern Recognit. 1990, 23(9):961-973.
14. Kurugollu F., Sankur B., Harmanci A.E. Color image segmentation using histogram multi thresholding and fusion. Image Vision Comput. 2001, 19(13):915-928.
15. Hong Y. Color map image segmentation using optimized nearest neighbor classifiers, in: Proceedings of the Second International Conference on Document Analysis and Recognition, 1993, pp. 111-114.
16. Chen H., Tang X.A., Wang Ch.H., Zh.Gan Object oriented segmentation of scanned topographical maps. J. Image Graphics 2010, 15(9):1416-1424.
17. Wu K.L., Yang M.S. Alternative C-means clustering algorithms. Pattern Recognit. 2002, 35(10):2267-2278.
18. Özdemir D., Akarun L. A fuzzy algorithm for color quantization of images. Pattern Recognit. 2002, 35(8):1785-1791.
19. Padmavathi G. Image segmentation using fuzzy C-means clustering method with thresholding for underwater images. Adv. Networking Appl. 2010, 2(2):514-518.
20. Ozdemir D., Akarun L. Fuzzy algorithms for combined quantization and dithering. IEEE Trans. Image Process. 2001, 10(6):923-931.
21. Xie J.H., Li H.Y., Jing Y.W. Improvement of color segmentation algorithm for color maps and its implementation. Control Decis. 2006, 21(10):1092-1096.
22. Xin D.J. Research on Automatic Recognition and Acquisition Techniques of Color Topographic Maps Elements 2006, Nanjing University of Science and Technology.
23. H. Zh. Xie, B. Fu, L. Zh. Wang, Q. C. Deng, Uncertainty analysis of map scanning digitization and data quality control, in: Proceedings of 2010 18th International Conference on Geoinformatics, 2010, pp. 1-4.
24. Teo T.A., Lau C.C. Pyramid-based image empirical mode decomposition for the fusion of multispectral and panchromatic images. EURASIP J. Adv. Sign. Process. 2012, 1-12.
25. Paris S., Hasinoff S.W., Kautz J. Local Laplacian filters: edge-aware image processing with a Laplacian pyramid. ACM Trans. Graphics 2011, 30(4):1-12.
26. Zhu W.Zh. Segmentation and recognition of map element based on color. Pattern Recognit. Artif. Intell. 1996, 9(2):194-199.