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This paper emphasis on spatial feature extractions and selection techniques adopted in content based image retrieval that uses the visual content of a still image to search for similar images in large scale image databases, according to a userβs interest. The content based image retrieval problem is motivated by the need to search the exponentially increasing space of image databases efficiently and effectively. It is also possible to classify the remotely sensed image to represent the specific feature of the target images. In this research we first imposed the Fuzzy C-means algorithm to our sample image and observed its value. After getting the experimental result from Fuzzy Cmeans we have had designed Ontological Matching algorithm which aftereffect better than the previous one. We have had espy that our Ontological Matching algorithm is twenty (20%) percent better than Fuzzy C-means algorithm.
Dr. Md.Sarwar kamal, Sonia Farhana Nimmy, Linkon Chowdhury. 2012. "Uncertainty Analysis for Spatial Image Extractions in the context of Ontology and Fuzzy C-Means Algorithm". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F10).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 148
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology
Authors: Dr. Md.Sarwar kamal, Sonia Farhana Nimmy, Linkon Chowdhury (PhD/Dr. count: 1)
View Count (all-time): 373
Total Views (Real + Logic): 3693
Total Downloads (simulated): 156
Publish Date: 2012 03, Thu
Monthly Totals (Real + Logic):
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