Fatemeh Ghofrani

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As intensity of medical x-ray images varies considerably and texture characteristics of them are very similar, feature extraction based on characteristic of these images and providing a set of capable features is a difficult task. To overcome this difficulty, many researches focusing on feature extraction schemes for this type of images. In this paper, a(More)
Internet traffic classification plays an important role for network management. In fact, operators need to better predict future traffic behavior to identify anomalous situations. We present here an approach for traffic classification using Hidden Naive Bayes model and a supervised discretization scheme. This approach can achieve an appropriate performance(More)
In this paper, a novel fuzzy scheme for medical X-ray image classification is presented. In this method, each image is partitioned into 25 overlapping subimages and then, we extracted the shape-texture features from shape and directional information of each subimage. In the classification step, we apply a fuzzy membership to each subimage considering the(More)
In this work, we propose a novel scheme for internet traffic classification using combination of three different classifiers. The proposed classification scheme consists of three steps. In the first step, in order to achieve discrete features, the size of the first four packets of each flow is discretized based on an entropy-based algorithm. In the next(More)
This paper proposes a novel approach for medical x-ray image classification using fuzzification of Contourlet-based Center Symmetric Local Binary Patterns (CCS-LBPs). The proposed classification method consists of three stages. In the first stage, local features are obtained by partitioning each image into 25 overlapping sub-images, computing the 2-level(More)
In this paper a modified image coding scheme based on discrete fuzzy transform is presented. In this method, the image is partitioned in to subimages of size 16×16, then any compressed subimage is obtained using fuzzy transform and uniform quantization according to the standard deviation of subimage. These subimages are decompressed with the related(More)
The aim of the study is to investigate the spiritual intelligence role in predicting Quchan University students’ quality of life. In order to collect data, a sample of 143 students of Quechan University was selected randomly enrolled for 89–90 academic year. The instruments of the data collecting are World Health Organization Quality of Life (WHOQOL) and(More)
In this article we introduce a novel motion estimation method for video sequences. Proposed method can be employed as a part of video encoders, and decoders to increase the compression ratio, and decrease the temporal redundancies. In the presented method, first a global motion vector is computed for each frame, by use of a fast procedure. This step is in(More)
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