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COLOR CONVERSION AND WATER SHED SEGMENTATION FOR RGB IMAGES
Get PDFIn this paper we describes the conversion preserves feature discriminability and reasonable color ordering, while respecting the original lightness of colors, by simple optimization of a nonlinear global mapping. Experimental results show that our method produces convincing results for a variety of color images. The required luminance adjustments are small and always lie within 1% of the mean luminance. Since all adapting lights are of the same luminance, zero luminance adjustments (dashed lines) are predicted for the asymmetric color matches under the hypothesis that adaptation is confined to the L–2M, the S – (L + M) and the L + 2M.The recovery of shape from texture under perspective projection. This is made possible by imposing a notion of homogeneity for the original texture, according it which the deformation gradient is equal to the velocity of the texture gradient equation this work studies a method called Normalized Cut and proposes an image segmentation strategy utilizing two ways to convert images into graphs: Pixel affinity and watershed transform
INVESTIGATION OF CAPACITY GAINS IN MIMO CORRELATED RICIAN FADING CHANNELS SYSTEMS
Get PDFThis paper investigate the effect of Rician fading and correlation on the capacity and diversity of MIMO channels. The use of antenna arrays at both sides of the wireless communication link (MIMO systems) can increase channel capacity provided the propagation medium is rich scattering or Rayleigh fading and the antenna arrays at both sides are uncorrelated. However, the presence of line-of-sight (LOS) component and correlation of real world wireless channels may affect the system performance. Along with that we also investigate power distribution methods for higher capacity gains and effect of CSI at the transmitter on the capacity for range of SNR. Our investigation follows capacity gain as function of number of antennas and signal-to-noise (SNR) power ratio Block and frequency nonselective Rician fading channel is assumed, and the effect of Rician factor (L) and the correlation parameter (ρ) on the capacity and diversity gains of MIMO channels are found. Inde
A VLSI DSP DESIGN AND IMPLEMENTATION OF COMB FILTER USING UN-FOLDING METHODOLOGY
Get PDFIn signal processing, a comb filter adds a delayed version of a signal to itself, causing constructive and destructive interference. Comb filters are used in a variety of signal processing applications that is Cascaded Integrator-Comb filters, Audio effects, including echo, flanging, and digital waveguide synthesis and various other applications. Comb filter when implemented has lower through-put as the sample period can not be achieved equal to the iteration bound because node computation time of comb filter is larger than the iteration bound. Hence throughput remains less. This paper present the comb filter using one of the methodology needed to design custom or semi custom VLSI circuits named as Un-Folding which increases the throughput of the comb filter. Un-Folding is a transformation technique that can be applied to a DSP program to create a new program describing more than one iteration of the original program. It can unravel hidden con-currency in digital signal processing systems described by DFGs. Therefore, unfolding has been used for the sample period reduction of the comb filter for its higher throughput
DESIGN OF CIRCULAR POLARIZED MICROSTRIP PATCH ANTENNA FOR L BAND
Get PDFIn this paper, we share our experience of designing a circularly polarized square patch antenna at L band. The antenna is designed using a relatively cheap substrate FR-4 with permittivity r = 4:4 and loss tangent tan = 0:02. The antenna has a gain of 5dB. Simulated response shows that the designed antenna has an input impedance(Zin) of 50 approximately. An efficiency of 65% is obtained for a single patch. It has a narrow bandwidth and a high Q factor. The design procedure, feed mechanism and simulation results are presented in this paper
DETERMINATION OF BRADYCARDIA & TACHYCARDIA FROM ECG SIGNAL USING WAVELET TRANSFORM
Get PDFThe Automatic ECG signal analysis by wavelet transform (WT) along with MATLAB using signal processing and wavelet toolboxes to ease the process to calculate the set on points, and set off points, and time intervals within QRS complexes, T waves and P waves. This process will allow the analyses on the characteristics of each QRS complexes, T waves and P waves. This can be done by using Wavelet filter Coefficients, for this procedure following steps are used for filtration:- R-R interval detection QRS Complex Detection T wave and P wave detectio
Location Estimation of Beacon in MEOSAR System
Get PDFThis paper describes the satellite aided search and rescue system that provides services to save the lives at the distress or emergency regions. COSPAS - SARSAT is a satellite-based system designed to provide distress alert and location data to facilitate SAR operations. The ground receiver named as Local User Terminals (LUTs) is in charge of processing the incoming signal and determining the beacon position via Frequency Difference of Arrival (FDOA) and Time Difference of Arrival (TDOA) technique. A common method of calculating TDOA and FDOA is the Cross Ambiguity Function (CAF). This paper proposes the implementation of CAF map method, which is a simple method that reduces the processing complexity over CAF method and also as the ability to locate several beacons that eliminates the false location of beacons
Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions
Get PDFBreast Cancer now becomes a common disease among woman in developing as well as developed countries. Many noninvasive methodologies have been used to detect breast cancer. Computer Aided diagnosis through, Mammography is a widely used as a screening tool and is the gold standard for the early detection of breast cancer. The classification of breast masses into the benign and malignant categories is an important problem in the area of computer-aided diagnosis of breast cancer. We present a new method for complete total image of mammogram analysis. A mammogram is analyzed region by region and is classified as normal or abnormal. We present a hybrid technique for extracting features that can be used to distinguish normal and abnormal regions of a mammogram. We describe our classifier technique that uses a unique re-classification method to boost the classification performance. Our proposed hybrid technique comprises decision tree followed by association rule miner shows most proficient and promising performance with high classification rate compared to many other classifiers. We have tested this technique on a set of ground-truth complete total image of mammograms and the result was quite effective
Anti-synchronization of discrete-time chaotic systems using optimization algorithms
Get PDFIn this paper, anti-synchronization of discrete chaotic system based on optimization algorithms are investigated. Different controllers have been used for anti-synchronization of two identical discrete chaotic systems. A proportional-integral-derivative (PID) control is used and its parameters is tuned by the four optimization algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), modified particle swarm optimization (MPSO) and improved particle swarm optimization (IPSO). Simulation results of these optimization methods to determine the PID controller parameters to anti-synchronization of two chaotic systems are compared. Numerical results show that the improved particle swarm optimization has the best result
Facial Feature Extraction Using a 4D Stereo Camera System
Get PDFFacial feature recognition has received much attention among the researchers in computer vision. This paper presents a new approach for facial feature extraction. The work can be broadly classified into two stages, face acquisition and feature extraction. Face acquisition is done by a 4D stereo camera system from Dimensional Imaging and the data is available in ‘obj’ files generated by the camera system. The second stage illustrates extraction of important facial features. The algorithm developed for this purpose is inspired from the natural biological shape and structure of human face. The accuracy of identifying the facial points has been shown using simulation results. The algorithm is able to identify the tip of the nose, the point where nose meets the forehead, and near corners of both the eyes from the faces acquired by the camera system
Feature Extraction and Classification of Flaws in Radio Graphical Weld Images Using ANN
Get PDFIn this paper, a novel approach for the detection and classification of flaws in weld images is presented. Computer based weld image analysis is most significant method. The method has been applied for detecting and discriminating flaws in the weld that may corresponds false alarms or all possible nine types of weld defects (Slag Inclusion, Wormhole, Porosity, Incomplete penetration, Under cuts, Cracks, Lack of fusion, Weaving fault Slag line), after being successfully tested on80 radiographic images obtained from EURECTEST, International scientific Association Brussels, Belgium, and 24 radiographs of ship weld provided by Technic Control Co. (Poland) were used, obtained from Ioannis Valavanis Greece.. The procedure to detect all the types of flaws and feature extraction is implemented by segmentation algorithm which can overcome computer complexity problem. Our problem focuses on the high performance classification by optimization of feature set by various selection algorithms like sequential forward search (SFS), sequential backward search algorithm (SBS) and sequential forward floating search algorithm (SFFS). Features are important for measuring parameters which leads in directional to understand image. We introduced 23 geometric features, and 14 texture features. The Experimental results show that our proposed method gives good performance of radiographic images