Artificial Intelligence and Signal Processing: International by Ali Movaghar, Mansour Jamzad, Hossein Asadi

By Ali Movaghar, Mansour Jamzad, Hossein Asadi

This ebook constitutes the refereed court cases of the overseas Symposium, on man made Intelligence and sign Processing, AISP 2013, held in Tehran, Iran, in December 2013. The 35 complete papers provided have been rigorously reviewed and chosen from 106 submissions. they're geared up in topical sections equivalent to picture processing, computer imaginative and prescient, scientific photo processing, sign processing, speech processing, typical language processing, platforms and AI purposes, robotics.

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Additional info for Artificial Intelligence and Signal Processing: International Symposium, AISP 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers

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4, 5, and 6. An SVM classification on the original hyperspectral image were performed in Figs. 1 and 4, then the classification map of SVM with different segmentation maps obtained by proposed techniques were appeared. Figures 2 and 4 were the obtained classification maps, with the global accuracies (Overall accuracy, Average accuracy and Kappa factor) and Figs. 3 and 5 presented the average accuracy of approaches for different classes. We can see that our approach gives higher accuracies than the previously proposed approaches.

In: The 2009 International Conference on Computer Engineering and Systems, ICCES 2009, art. no. 5383216, pp. com Abstract. The aim of multi-focus image fusion is to combine multiple images with different focuses for enhancing the perception of a scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition. Existing methods are suffering from some undesirable side effects like blurring or blocking artifacts which reduce the quality of the output image.

Utilization of variance in the proposed algorithm, leads to better quality of the fused image. Numerous experiments on evaluating the fusion performance were conducted and the results show that the proposed method outperforms the previous wavelet and DCT based methods both in quality and complexity reduction. Acknowledgements. A. Haghighat for guidance helpful and tanks from E. Aghaei Kiasaraei for helping us to preparing template of this paper. References 1. : Analysis of distributed fusion alternatives in coordinated vision agents.

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