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Cloud computing nowadays are gaining high importance from government services, private users and public sectors. The rise in cloud computing is due to the provided facilities such as flexibility, disaster recovery, security, etc. Moving data into cloud servers provide great convenience to users because they just have to upload their data and not care about the hardware management and security. But,...
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IET Computer Vision > 2016 > 10 > 8 > 769 - 779
Improving image resolution has broad applications and is an important research topic. Recently, a hybrid method Adaptive Sparse Domain Selection (ASDS) combining a reconstruction-based method and an example-based method has been proposed to take advantage of the two, but may not reconstruct sufficient details. In this study, the authors propose to improve ASDS: Zeyde's method is first used to obtain...
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A watermarking algorithm for certificate forgery prevention based on the parity of the highest digit from singular values' average is proposed. It splits an image into non-overlapping blocks, and conducts singular value decomposition on each block. The zero-watermark sequence is produced by judging the parity of the highest digit from singular values' average in each singular value matrix. The experimental...
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The principle of Support Vector Machine based on spot is to choose an appropriate scale to split the image into a series of segmentation, according to certain strategy using spectral information. And this principle ensures the spectral features of the majority of patch pixel similar. This method gathers statistics of each pixel value in the spot and obtains the mean value of each band to replace the...
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Internet is being used for several activities by a great range of users. These activities include communication, e-commerce, education, and entertainment. Users are required to register regarding Website in order to enroll Web activities. However, registration can be done by automated hacking software. That software make false enrollments which occupy the resources of the Website by reducing the performance...
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This paper explores the use of an evolutionary approach in the context of image segmentation to overcome the problem of specifying manually the number of clusters with the normalized cut approach. The proposed approach uses a quality function, a dam-based representation, and an Union-Find Set decoding method. The quality function provides an unbiased criterion and the dam-based representation can...
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2006 International Conference on Image Processing > 1569 - 1572
Image decomposition consists of splitting an image into two or more components. One component is piecewise smooth and models object shapes. Another component consists of the texture in the image, possibly including some noise. Image decomposition is useful for a host of image processing tasks, e.g. texture segmentation and image inpainting. In this paper, we consider ways of improving both the speed...
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Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.3CH 37492) > 5 > 2398 - 2403 Vol.5
The aim of this paper is to detect and follow the pipeline in sonar imagery. This work is performed in two steps. The first is to split an image (first experiment) or a transformed line image of pipeline image (second experiment) into regions of uniform texture using the Gray Level Concurrence Matrix Method (GLCM). The second addresses the unsupervised learning method based on the Artificial Neural...
