The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Binary descriptors are receiving extensive research interests due to their storage and computation efficiency. A good binary descriptor should deliver sufficient information as well as be robust to image deformation and distortion. Recently, Calonder et al proposed Binary Robust Independent Elementary Features (BRIEF), which showed good performance in image matching. In this paper, we extend BRIEF...
Listening to cardiac and respiratory sounds called as auscultation is a non-invasive medical procedure, which provides useful information about the behavior of the heart and the lung. Cardiac and respiratory sounds interfere with each other as well as with other sounds like snore, speech or traffic noise, which compromises the effectiveness of auscultation. This paper addresses the problem of auscultation...
We introduce a statistical shape descriptor for Sketch-Based Image Retrieval. The proposed descriptor combines feature information in near and far support regions defined for each sketch point. Two feature values are extracted from each point, corresponding to near and far support regions from the point's perspective, and used to populate a 2-D histogram representing the shape features of the sketch...
The ability to automatically recognize sound events in real-life conditions is an important part of applications such as acoustic surveillance and smart home automation. The main challenge of these applications is that the sound sources often come from unknown distances under different acoustic environments, which are also noisy and reverberant. Among the noises in the home, the most difficult to...
A fast and effective double-level segmentation method is proposed to detect and segment the concealed objects adaptively in various real-time X-ray Compton backscatter (CBS) images. The double-level segmentation method is composed of the global segmentation and the local segmentation. The global segmentation separates the body area from background area on the basis of a two-class Gaussian density,...
This paper proposes a novel approach to enhance the speech features in noise robustness for speech recognition. In the proposed approach, the speech feature time sequence is first converted into the modulation spectral domain via discrete Fourier transform (DFT). The magnitude part of the modulation spectrum is decomposed into overlapped non-uniform sub-band segments, and then each sub-band segment...
Visual quality enhancement plays a vital role in low cost imaging systems, machine vision, industrial applications, remote sensing, face recognition systems and medical image interpretation etc. Growth of low cost image processing applications require image preprocessing which enhances details of an image. Most of the contrast enhancement papers apply desired contrast enhancement technique directly...
The thyroid gland is highly vascular organ, and lies in the anterior part of the neck just below the thyroid cartilage. Ultrasound imaging is most commonly used to detect and classify abnormalities of the thyroid gland. Other modalities (CT/MRI) are also used. There is a challenge to segment ultrasound medical image which is often blurred and consists of noise as other modalities like CT contains...
Image registration is the most important fundamental phenomenon in the image processing system. In which Automatic image registration is a challenging aspect. Although enormous methods for automatic image registration have been developed and implemented in ancient days, it is still a broad use in plenty applications, such as in remote sensing. In my work, I have proposed a method for automatic image...
This works deals with the problem of finding and identifying insulating components of distribution lines that have hidden defects or present a state of incipient failure. These components, such as insulators or switches, may present sporadic defects that should be investigated by the utility. Classic tools used to find these components are based on radio interference and ultrasound signals emitted...
Fingerprint recognition systems are widely deployed in both government and civilian applications. But the emergence of fake fingerprints poses a new threat to privacy security. Among the numerous fingerprint vitality detection methods, the local binary pattern (LBP) is considered as one of the state-of-the-art operators. However, the local binary pattern tends to be sensitive to noise, as there are...
Operation speed of the single-photon detector based on the silicon-on-insulator (SOI) metal-oxide-semiconductor field-effect transistor (MOSFET) is affected by the noise and minority carrier lifetime, both of which are found to be dependent on the substrate bias. The noise spectrum are obtained at various substrate voltages in dark condition while keeping the average drain current constant. The noise...
We perform an empirical analysis of the statistic properties of the probability density functions (PDFs) of the ECGs. We show that the statistical analysis of the ECGs can reveal useful information on the noise in the recordings, and on the true ECG. The paper complements another paper by the second author, with theoretical character.
The influence of random telegraph noise (RTN) in MOSFETs on drain current (Id) during transition edge of pulse gate voltage (Vg) was investigated. The Id fluctuation under dynamic Vg was larger than that under de bias by a factor of 2.2. We have revealed that the initial trap occupation states before varying Vg significantly affect the Id values during the transition edge of dynamic Vg. The trap occupation...
With the aim of manufacturing faster devices, the electronic industry scales down device's dimensions and is today entering into a nanoscale and Terahertz frequency regimes. In this work, we show how the reduction of the length L of the active region of two terminal devices implies (apart from the expected improvement of their dynamic behavior) a typically disregarded increment on the fluctuations...
One of the important tool in genomic analysis is Gel Eletrophoresis. It is a tool that is routinely used in genetics, microbiology, forensics, molecular biology and biochemistry. GE is also used in separating DNA, RNA and protein molecules by using electric field applied to a gel matrix. This paper describes the application of Particle Swarm Optimization (PSO) that is a population-based optimization...
Despite the extensive literature, describing the probability content of measurements remains an important topic for engineering problems. The histogram remains the golden standard, even though kernel density estimation is a strong competitor when smooth estimates are desired.
This paper presents a new algorithm to better classify objects in videos. In our case, the objects are cars, vans, and people on the roads. First, in order to extract the moving objects more precisely, we have proposed a method for foreground extraction based on the contour differences between the video frame and the background image. Second, after we got the integrated moving object, we have proposed...
This paper presents an effective appearance-based facial feature descriptor constructed with a new local texture pattern, namely the median ternary pattern (MTP) for face representation and recognition. The proposed MTP operator encodes the texture information of a local neighborhood by quantizing the intensity values of the neighbors around each pixel in three different levels based on the local...
Ultrasound imaging plays a crucial roles in medical field to estimate kidney size, position, appearance and helps to detect structural abnormalities as well as the presence of cysts, stones, cancer, congenital anomalies, swelling, blockage of urine flow etc. But presence of speckle noise and low contrast in ultrasound images, detection of kidney is a difficult as well as challenging task. In this...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.