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Titlebook: Computer Vision and Image Processing; 4th International Co Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Conference proceedings 2020 S

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Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian
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Automated Industrial Quality Control of Pipe Stacks Using Computer Vision” manner by dividing the image into smaller grids and detecting circular cross-sections per grid, which has computational advantages of using a smaller accumulator and is less memory intensive. Experiments were performed on real industrial images to validate the efficiency of the proposed algorithm
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A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral which generates an ordering of the dimensions based on non-redundancy, relevancy while ensuring that the selected feature dimensions are representatives of all the original feature dimensions. We subsequently propose a graph-based greedy algorithm for feature selection in this regard. Experimental
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