Mohamad Reza Karami Mollaei
Faculty of Electrical and Computer Engeniering, Babol University of Technology, P.O.Box 484, Babol, Iran
[ 1 ] - REGION MERGING STRATEGY FOR BRAIN MRI SEGMENTATION USING DEMPSTER-SHAFER THEORY
Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to...
[ 2 ] - Face Recognition using an Affine Sparse Coding approach
Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as face recognition applications, different images may be classified into the same class, and hen...
[ 3 ] - طراحی الگوریتم نهان نگاری تطبیقی مبتنی بر آنتروپی و ELSB2
امنیت، مقاومت و ظرفیت، مهمترین معیارهای ارزیابی در نهاننگاری هستند. هدف از امنیت، کاهش احتمال تشخیص وجود پیام در تصویر و هدف از مقاومت، پایداری پیام جاسازی شده در مقابل حذف و تخریب، بر اثر انواع حملات عمد یا غیر عمد، مثل نویز و فیلترینگ است. در این مقاله یک الگوریتم نهاننگاری تطبیقی کارآمد در حوزه مکان طراحی میشود که قابل استفاده در حوزه فرکانس نیز است. در این الگوریتم، زبری (تغییرات پیکسل...
[ 4 ] - A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
[ 5 ] - A Sharp Sufficient Condition for Sparsity Pattern Recovery
Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived. Although this problem as been addressed in the recent literature, there is still considerable gaps between those results and the exact limits of the perfect support set recovery. To reduce this gap, in this paper, the sufficient con...
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