18 results with keyword: 'image fusion using type fuzzy systems'
The quality of fused images obtained from algorithms using different types of Type-2 FLSs are compared using Fusion Quality Performance Evaluation Metrics.. Some
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– Too much hype, not enough information for customers – Obscure or difficult-to-see site structures?. – Difficulty in finding the way around
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Collapse fragility curves obtained for the 6-story structure using the ground motion record bins selected based on the considered proxies: (a) Target " Sa value = 0.8 and (b)
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International Research Journal of Engineering and Technology (IRJET) e ISSN 2395 0056 Volume 02 Issue 02 | May 2015 www irjet net p ISSN 2395 0072 ? 2015, IRJET NET All Rights Reserved
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Image Fusion Technique using Fuzzy and Wavelet Analysis of Medical Image.. Dr.Bala Rengadurai 1 & Lavanya Pacha 2
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Some key actions have already been launched to fight youth unemployment, such as Youth@work, an awareness-raising campaign to build contacts between young people and small
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The results are compared with the pixel level image fusion in spatial domain with fuzzy and neuro fuzzy logic approach along with the quality evaluation indices for image fusion
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By using the DWT instead of using the directly fusing the image we may loss the data at the image noise pixels, since we separated the images according to the frequencies
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Abstract - This paper presents the MRI brain diagnosis support system for structure segmentation and its analysis using spatial fuzzy clustering algorithm. The method is proposed
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This paper compares the proposed method with popular ones like Principal Component Analysis (PCA), simple averaging (AVG), Laplacian Pyramid Approach(LPA),
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A particular form is invoked to enable the individual to experience the type of consciousness/feeling associated with it, and all invokations should be for a
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The very first step is to select the two different images which will be fused together. The images are selected from a set. There are five different sets are considered. The
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To find the effectiveness of the proposed algorithm, an experiment to the same image by using some different thresholding algorithm; type II fuzzy sets, type I
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Therefore, it presents the combination of simulated annealing with three models, type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and general type-2 fuzzy logic
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The second subproblem of the study was defined as ―Is there a significant difference between pretest and posttest scores for basic process skills,
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3.3.1 Single fuzzy-lattice image fusion For single lattice structure, we consider 3X3 size image window which generate from infrared and normal visual fuzzy data with
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In the laboratory study, downstream of the main diversion channel, minimum water surface level was kept constant at H = 1471:21 m as the maximum water demand was at this stage..
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