Mohammad Motiur Rahman

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Optimizing threshold value of wavelet coefficient is an important task in speckle noise reduction in the wavelet domain. Without proper selection of threshold value image information may be lost, which is unwanted. In this paper we proposed optimum threshold parameter using Fisher Discriminant Analysis (FDA) for determining the optimum threshold value of(More)
Medical image segmentation is a fundamental task in the medical imaging field. Optimal segmentation is required for the accurate judgment or appropriate clinical diagnosis. In this paper, we proposed automatically gradient threshold estimator of anisotropic diffusion for Meyer’s Watershed algorithm based optimal segmentation. The Meyer’s Watershed algorithm(More)
Now a days Empirical Mode Decomposition (EMD) is an important tool for image analyzing. Optimizing threshold value of Bidimensional Intrinsic Mode Function (BIMF) is one of the important tasks in speckle noise reduction in the Bidimensional Empirical Mode Decomposition (BEMD) domain. Without proper selection of threshold value image information may be lost,(More)
ZigBee is a protocol for high-level communication under IEEE 802.15.4 standard. ZigBee network specification creates a personal area network for small, less-power consuming radio communication. The vast use in device to device communication of ZigBee turns its possibility in the use of the Internet of Things. A large amount of sensor nodes is interconnected(More)
A new effective method for speckle noise reduction in ultrasound imaging is introduced in this paper. The proposed method is based on Extra-Energy Reduction (EER) function in the vector field, which is addressed by vector triangular formula. It is reasonable to decide that the calculated the energy of a pixel by vector triangular formula is less than the(More)
In this paper, a method for adaptive Canny edge detection algorithm is proposed. Adaptive Canny algorithm is used to increase the accuracy of output objects. In traditional Canny need to set two threshold values manually, so there are some defects to different images but this paper puts faorward an adaptive threshold values based on mean and median values.(More)
Ultrasound imaging is one of the most widely used and important diagnostic tools in today's sophisticated medical diagnostics [1]. Ultrasound imaging is becoming more popular day by day because it is relatively inexpensive and portable, especially when compared with other imaging techniques such as MRI and computed tomography (CT), PET [2], [3]. It has no(More)
In this paper we present and evaluate a novel method for an efficient speckle denoising by using principal component analysis (PCA) with bit plane slicing and nonlinear diffusion. We use PCA transformation for generating de-correlated dataset from a noisy image. Then we apply bit plane slicing on the de-correlated dataset and nonlinear diffusion is applied(More)
Gastrointestinal polyps are considered to be the precursors of cancer development in most of the cases. Therefore, early detection and removal of polyps can reduce the possibility of cancer. Video endoscopy is the most used diagnostic modality for gastrointestinal polyps. But, because it is an operator dependent procedure, several human factors can lead to(More)
Weather condition analysis and its prediction has always been a task of great efforts. It is tedious to predict the weather accurately. India being a country with agriculture as the primary occupation, there is an extreme need to predict data with improved accuracy. Big data comes with solution since it becomes easy and comparatively less expensive to store(More)
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