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Medical image processing is considered as an important topic in the domain of image processing. It is used to help the doctors to improve and speed up the diagnosis process. In particular, computed tomography scanners (CT-Scanner) are used to create cross-sectional medical 3D images of bones. In this paper, we propose a method for CT-Scanner identification based on the sensor noise analysis. We built...
Optical technique such as laser Doppler interferometry is quite popular for non contact measurement and has been applied in free surface velocity measurement in dynamic compression experiment. In this technique the information of measured physical quantity such as surface velocity is encoded in the phase of a fringe pattern. Fringe analysis software extracts the phase from the fringe pattern. The...
An interferometric fiber optic Gyroscope (IFOG) is a core component in the inertial navigation system (INS), and used to measure the rotation rate of an object based on Sagnac principle. The output of IFOG suffers with noise and random drift errors, due to the variation and fluctuations of the ambient temperature during the operation time. Random drift error is the main source of error and it degrades...
In this paper, we propose an efficient framework for reducing noise and holes in depth map captured with an RGB-D camera. This is performed by applying plane fitting to the groups of points assimilable to planar structures and filtering the curved surface points. We present a new method for finding global planar structures in a 3D scene by combining superpixel segmentation and graph component labeling...
Noise suppression is an integral part of any image processing task Noise significantly degrades the image quality and hence makes it difficult for the observer to discriminate fine detail of the images especially in diagnostic examinations. Through decades of research, mass articles on image denoising have been proposed The effect of noise in the images can be reduced by using either spatial filtering...
The presence of parasite interference signals could cause serious problems in the registration of ECG signals and many works have been done to suppress these noise signals. By conducting a mathematical method based on varying window length as according to the distance from the adjacent Rpeak which are assumed to be high frequency noise (power line interference, electromyography noise) is removed with...
This paper presents a two stage process for image de-noising and edge enhancement by applying singular value decomposition technique on anisotropic diffused images. The two diffused versions of the input noisy image are generated in the first stage by anisotropic diffusion. The first diffused image is a well smoothed image and the second diffused image is sharp edge detected image. Singular value...
Signal recovery from noisy measurements is an important task that arises in many areas of signal processing. In this paper, we consider this problem for signals represented with graphs using a recently developed framework of discrete signal processing on graphs. We formulate graph signal denoising as an optimization problem and derive an exact closed-form solution expressed by an inverse graph filter,...
The design and development of a duct based experimental setup has been presented to investigate the active noise cancellation of narrowband as well as broadband scenario. The performance of Filtered-X Least Mean Square algorithm is investigated by utilizing feed-forward topology. Secondary and feedback path modeling is done by using system identification toolbox of MATLAB. The developed system has...
Considering the problem that structure information can be easily lost when the edge and texture regions of image are denoised by the Non-Local Means (NL-Means) denoising algorithm, and a NL-Means image denoising algorithm based on edge detection is proposed in this paper. Firstly the edge detection in the noise image is got by using the improved Sobel operator, and then the detecting result is used...
In this work, we employ a pair wise Markov Random Field (MRF) and a Conditional Random Field (CRF) for bi-level image segmentation and denoising. For both tasks, the Ising pair wise model and the Iterative Conditional Mode (ICM) inference method are implemented, assuming the parameters of the unary and pair wise potentials are known. Experimental results demonstrate the effectiveness of the proposed...
The two-dimensional images are often insufficient to achieve a perfect diagnosis in the medical area; on the other hand the three-dimensional images allow having an interesting deductive vision and there denoising has become a necessity and an essential need. Many methods have been proposed to reduce noise and to preserve edge, are usually used for 2D images and they have been extended to 3D data...
Since the loss of input rectifying diode bridge in the conventional PFC converter reduces the efficiency, the bridgeless PFC converter has been proposed. The totem-pole bridgeless PFC converter is the most representative one. However the common mode noise current occurring around the input voltage zero-crossing brings severe EMI problem restricts its practical application. In order to improve noise...
Side-channel power analysis attacks have been proven to be the most powerful attacks on implementations of cryptographic primitives. DPA and CPA are probably the most wide-spread practical attacks on numerous embedded cryptographic systems. Additive noise is a kind of typical power analysis resistant implementing technique. The success rate of the DPA and CPA attacks is significantly affected by the...
In this paper, we propose an improved median filtering algorithm by adding filtration function before replacing the value of the median position with the median and doing multiple processing of median filtering to overcome the shortcoming of the traditional Median Filtering Algorithm. Experimental results are shown that an image after processed by the improved algorithm is hard to find image noise,...
Target of this research is that patient can listen to sounds of own internal organs, be interesting in and have active involvement in own medical treatment. However, there is nothing in the world patient can listen to the sound of own internal organs. Any patient will be not able to make out sound of particular organ, using stethoscope. Doctor uses the stethoscope for diagnosis catching weak sound...
In this paper, we propose an image denoising model by using low-rank dictionary and sparse representation (LRSR). The K-SVD algorithm learns a universal dictionary for all patches in an image and the NLM exploits similarities of nonlocal patches, both achieve effective denoising performance. Motivated by these methods, we propose to use a low-rank dictionary for each cluster of similar patches and...
For suppressing the power-bus resonance at higher frequencies, which causes propagation of electromagnetic noise and detraction of power integrity, we proposed a lossy resonator filter with frequency selectivity and low loss. To suppress noise propagation in the power-ground plane pair of a printed circuit board (PCB) at high frequencies (over 1 GHz), a ferrite-covered open stub was formed on a PCB...
In opto-mechatronic systems using electric signals to drive motion control systems integrated with optical components, the driving signal may include the unwanted frequency band, such as resonant frequencies and noise frequencies. It can affect the accuracy and the repeatability of final opto-mechatronic system, and finally results into serious damage to the system due to resonance phenomenon of the...
The wireless acoustic sensors are not only subject to Doppler effect when being used to tracking high speed ground vehicles but also are prone to be disturbed by environmental noises generated locally by, for example, small animal passing or foliage blowing. These noises cannot be expressed using common analytic forms such as white or Gaussian noises as they impact portions of the sensor field sporadically...
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