Advances in Multimedia, Software Engineering and Computing by FuHua Shang, YaDong Zhou, HongTao Xie (auth.), David Jin,

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By FuHua Shang, YaDong Zhou, HongTao Xie (auth.), David Jin, Sally Lin (eds.)

MSEC2011 is an built-in convention concentrating its concentration upon Multimedia ,Software Engineering, Computing and schooling. within the continuing, you could study even more wisdom approximately Multimedia, software program Engineering ,Computing and schooling of researchers all over the global. the most position of the continuing is for use as an trade pillar for researchers who're operating within the pointed out box. for you to meet excessive general of Springer, AISC sequence ,the association committee has made their efforts to do the next issues. to start with, terrible caliber paper has been refused after reviewing direction by means of nameless referee specialists. Secondly, periodically evaluate conferences were held round the reviewers approximately 5 instances for replacing reviewing feedback. ultimately, the convention association had a number of initial classes sooner than the convention. via efforts of other humans and departments, the convention can be winning and fruitful.

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Extra resources for Advances in Multimedia, Software Engineering and Computing Vol.1: Proceedings of the 2011 MSEC International Conference on Multimedia, Software Engineering and Computing, November 26–27, Wuhan, China

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The Application of Bayes Decision. com Abstract. Because of the imaging characteristic of Synthetic Aperture Radar (SAR) building areas, an approach based on the level set approach is used to segment building areas. We use the edge feature based on exponential wavelet and texture feature based on variogram to build the energy criterion model, and then the evolutive curve is implemented by minimizing the energy criterion model via variational level set approach to detect the building areas. Compared to the traditional energy criterion model based on the gray information, experimental results show that the proposed model is effective and building areas of large SAR image is detected accurately.

A) (b) (c) (d) Fig. 3. Experiment 1:(a)the reeal SAR images;(b)segmentation of Otsu method;(c)segmentaation of SVM method;(d)segmentatiion of our method (a) (b) (c) (d) (e) Fig. 4. M. Zhang et al. (a) (b) ; Fig. 5. 4) was carried out on simulated SAR image. 4(b), (c) and (d) are the results of the Otsu method, the SVM method and our method, respectively. 4(e). It is obvious that the SVM method and our method are more effective than Otsu in dealing with severely noised image. 4(c), (d) and (e), we can clearly observe that compared to the SVM method, our method is able to obtain result more analogical to the reference one.

Jin and S. ): Advances in MSEC Vol. 1, AISC 128, pp. 19–24. M. Zhang et al. Fig. 1. Block scheme of the proposed method 2 Image Denoise Based on NSP As a foundational component of NSCT, NSP provides multi-scale decomposition and can be iterated repeatedly on the low-pass subband output of previous stage. The building block of NSP is a two-channel nonsubsampled filter bank (NSFB). Since NSFB has no downsampling or upsampling, it is shift-invariant. The perfect reconstruction condition is given as H0(z)G0(z)+H1(z)G1(z)=1 (1) Particularly, the G0(z) and G1(z) are low-pass and high-pass.

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