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 lawsuits of the overseas Symposium, on man made Intelligence and sign Processing, AISP 2013, held in Tehran, Iran, in December 2013. The 35 complete papers offered have been conscientiously reviewed and chosen from 106 submissions. they're geared up in topical sections resembling photograph processing, laptop imaginative and prescient, clinical photo processing, sign processing, speech processing, average language processing, platforms and AI functions, robotics.

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

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In addition, 1-D mean filter, sobel edge detection, morphological operations (Dilation and Erosion) with linear structure element and small objects removals are used [8]. 2 Feature Extraction Eye opening size. Eyes detection is started considering only blue-difference Chroma components (Cb) while researchers usually use a function of Cr and Cb [7–11, 13–15]. S. Farahani et al. Applying MATLAB Software functions including edge detection, morphological operations (Dilate and Close) and binary connected component functions [12], the areas and bounding boxes for candidate eyes regions are obtained.

Behav. Res. Methods 42(1), 351–362 (2010). de/album/escidoc:57488 7. : A novel fuzzy facial expression recognition system based on facial feature extraction from colourfaces images. Eng. Appl. Artif. Intell. 25(1), 130–146 (2012) 8. : A fuzzy approach for facial emotion recognition. In: 13th Iranian Conference on Fuzzy Systems (2013) 9. : GSA: a gravitational search algorithm. Inf. Sci. 179(13), 2232–2248 (2009) 10. : Skin segmentation using color and edge information. In: Seventh International Symposium on Signal Processing and Its Applications, vol.

Kernel-based methods for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 43(6), 1351–1362 (2005). 846154 2. : Linear feature extraction for hyperspectral images based on information theoretic learning. IEEE Geosci. Remote Sens. Lett. 10(4), 702–706 (2013). 2219575 50 M. Borhani and H. Ghassemian 3. : Adaptive Bayesian contextual classification based on Markov random fields. IEEE Trans. Geosci. Remote Sens. 40(11), 2454–2463 (2002). 805087 4. : A unified framework for MAP estimation in remote sensing image segmentation.

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