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.
Aiming at the various distribute clustering problems in diffusion model for all data points, providing a new clustering algorithm (CDD) based on the change of density. CDD searches the core point using a typical clustering algorithm (DBSCAN) which based on the density, then calculate the direction, speed and acceleration of density diffused which through analyze the diffusion rule of data sample and...
IRFPA (infrared focal plane) detector, which has low-cost, small size and non-refrigeration characteristics compared with traditional infrared detectors, has broad application prospects. However, non-uniformity issue of IRFPA detector has always been the fundamental constraint of its application, and also the current hotspot of infrared imaging studies. By analyzing actual noise characteristics of...
Osteoarthritis is characterised by functional failure of synovial joints. It is directly related to degeneration and malfunction of articular cartilage. Earlier studies have reported that normal articular cartilage contains a 3D collagen network integrated with interwoven collagen bundles in the superficial zone. The collagen bundles are critical to the tensile and shearing resistance of articular...
In the procedure of weak-signal detection, the noises are much stronger than the signals, so some measures should be taken to improve the S/N when measuring the signals. The traditional method is not able to efficiently measure the weak signals, as is proved by many experiments. In order to improve the S/N, an effective method of weak signal detection is essential for the detection. The main contents...
We introduce mainly the design of LNA (low noise amplifier) using the theory of mismatch compensation. The design target is expanded and stability of transistor is analyzed through the K factor. Using the powerful function of the ADS (Advanced Design System) software, it introduces in detail the designing process of the desired amplifier. LNA with operating frequency from 20 MHz to 3 GHz is designed...
Both wavelet algorithms and empirical mode decomposition (EMD) signal analysis method have strong power discriminate the signals from the noise, but the precision of denoise is affected by the end errors of EMD, the effect is more serious especially when the signal carries the information of the trend development. Based on the capability of orthogonal wavelet transform in de-noise, trend extract function...
The current methods of mobile target detection of video sequences have shortcomings such as poor disturbance-resistance and robustness. To solve this problem, a modified GVF Snake algorithm was presented, new gradient vector field was founded which took full advantage of image gradient information, between-frame motion information and grey-level information of neighbor pixels. Simulation result indicates...
A capacitively coupled contactless conductivity detection (C4D) method of capillary electrophoresis microchip based on orthogonal vector lock-in amplifier on FPGA is presented. The digital orthogonal vector lock-in amplifier is configured by assembling LPM MULT, ALTMULT ADD, Low-pass Filter and other IP core. The orthogonal driving signals are generated by custom DDS IP core based on DSP Builder software,...
A novel method is presented for blinding detection of digital forgeries based on employing the eclosion when someone forges the digital image. The basic idea of the presented method in this article is analyzing the texture of the image. In other words, at the first place, we decompose the image and then reconstruct the profile. In order to remove a small amount of noise in the texture image, we employ...
This paper presents a visual cortex inspired method for corner and vertex detection. Endstopped cells in cortical area VI, which combine outputs of complex cells tuned to different orientations, serve to detect line and edge crossings (junctions) and points with a large curvature. This property is used for corner and vertex detection in this paper. We utilize the endstopped neurons model of Dobbins,...
This paper presents a simple method of counting feeder fish automatically using image processing techniques. A video of a school of fish is taken and every frame is processed singly and independently. The first step is to obtain blobs marking the positions of the fish. Several ways of accomplishing this task are discussed. Noise and background objects are filtered from the image of the blobs. Area...
Advantages and disadvantages of two common algorithms frequently used in the moving target detection: background subtraction method and frame difference method are analyzed and compared in this paper. Then based on the background subtraction method, a moving target detection algorithm is proposed. The background image used to process the next frame image is generated through superposition of the current...
This paper presents a method for generating chaotic pseudo random (PR) sequence, which uses a novel three-dimensional (3-D) chaotic system and can generate both digital chaotic PN sequences and continuous time chaotic noise signals. This technique is derived from the idea of combining DSP builder tool with Matlab/Simulink and Quartus II software and is based on the direct discreteness and quantization...
In this paper, based on the Lyapunov's direct method, the general FSHPS scheme is given, the application of it to Rikitake chaotic flow is investigated and validated further. Furthermore, the effect of the controller and external noise are studied by measuring the mean squared (MSE). Additionally, a novel chaos communication method is proposed based on FSHPS. Numerical simulations are used to verify...
Aiming at the characteristics of vehicle images, this paper presents a method about vehicle image preprocessing and license plate location. The image preprocessing mainly includes graying the image, detecting the edge on image, median filtering and taking binaryzation on image. The license plate location consists of locating upper and lower boundary, locating left and right boundary for the image...
Geophysics' complexity and uncertainty, and interfering with a variety of humanities, which made the gaining first-hand information from the field in the process of data acquisition is often severely disrupted. The solution in the geophysical inversion would be many solutions or distortion, which is the geophysical ill-posed problem. Ill-posed problems could be attributed to the First Class of Operator...
Image usually is corrupted by two or more different types noise simultaneously, the paper proposed a new mixture filter method. The proposed method first classifies the pixels into two classes, one is the pixels which are corrupted by impulse noise and the other is the pixels corrupted by Gauss noise. Then median filter is used for the pixels corrupted by impulse noise and wavelet threshold method...
A novel feature locating digital watermark algorithm based on digital wavelet transform (DWT) is proposed. Points are extracted by means features of image from the low frequency sub-band of wavelet coefficients as index of locations in which watermarking information are embedded. This algorithm is suitable for blind detection. High locating precision almost do not effect by watermarking embedding...
Automatic detection of road cracks has been a hot topic since it reduces economic loses. It is not easy to get efficient detection algorithms because of complexity, diversity of pavement images and pavement distress's weak information. In this paper, a new approach of pavement cracks detection based on FDWT (fractional differential and wavelet transform) is proposed. Fractional differential can effectively...
The effective segmentation of moving impurity in medicinal liquid plays a key role in automatic detection. An adaptive threshold segmentation algorithm of visual impurity in medicinal liquid based on fuzzy logic algorithm is proposed. At first, the grey difference image acquired from 5 continuous frames is partitioned into 5??5 blocks, and then the mean, variance and fourth-order statistics of the...
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.