9 results for “Edge Detector”

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Research ArticleOpen accessPhrase in the titleA Practical Approach of Selecting the Edge Detector Parameters to Achieve a Good Edge Map of the Gray ImageAkram A. Moustafa, Ziad A. AlqadiProblem statement: practical approach of detecting edge map was proposed. Approach: The methodology of this approach was presented and tested in order to select the best value of the operator, used to smooth and get the gradient, and the threshold value used to convert the gray gradient to binary edge map, so a practical value of the threshold and edge … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,794 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsFPGA IMPLEMENTATION AND ANALYSIS OF IMPULSE NOISE REDUCTION IN IMAGESP. Thirumurugan, S. Sasikumar, C. SugapriyaThe images are affected by random valued impulse noises during the image capturing and processing stages. In this study, an efficient, high performance and low hardware utilized impulse noise reduction algorithm is presented. This methodology determines the optimum direction pixels through the estimation of standard deviation. The edges in the images are preserved during the process of impulse noise detection … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 19 Apr 2014 · 7,200 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsDESIGN IMPLEMENTATION AND HARDWARE STRUCTURE FOR IMAGE ENHANCEMENT AND SURFACE ROUGHNESS WITH FEATURE EXTRACTION USING DISCRETE WAVELET TRANSFORMSyed Jahangir Badashah, P. SubbaiahIn this study we provide the implementation design and hardware structure for the architecture proposed in the previous paper &#34Image Enhancement and Surface Roughness with Feature Extraction using DWT&#34 IEEE DoI/10.1049/cp.2011.0464. The proposed architecture has been implemented in Microwind and Tanner for power analysis and characteristic study. The result shows very low power consumption than the existing method for a … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 6,780 accessesView PDF Cite

Research ArticleOpen accessIn the abstractExtracting Unique Personal Identification Number from IrisNenad Nestorovic, P.W.C. Prasad, Abeer Alsadoon, Amr ElchouemiThe aim of this research is to propose an enhanced model that significantly reduces the noise in the iris templates and thus present an efficient and reliable iris recognition system. Accuracy of Iris recognition system significantly depends on reducing noise at every stage of recognition process especially at eye image acquisition and iris segmentation stages. The proposed Iris recognition model … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 7 Jul 2017 · 8,132 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Edge Detection Model Based on Virtual Magnetic Field: Application to Digital Color ImagesB. Nsiri, B. BoudaIn computer vision, the edge detection is an essential and difficult problem to study. For this reason, many detectors were developed for gray-level and color images. However, these edge detectors may miss some parts of the edges. In the aim, to deal with this problem, a new approach is proposed. It is based on Virtual Magnetic Field (VMF) in conjunction … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 25 Mar 2013 · 6,435 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAutomatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography ImagesFaten Abed Ali Dawood, Rahmita Wirza Rahmat, Mohd Zamrin Dimon et al.Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is “important clinical diagnosis parameter for many cardiovascular diseases”. A challenge most researchers faced is how to speed up the clinical decisions … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 8,188 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA New Approach for 3D Range Image Segmentation using Gradient MethodDina A. Hafiz, Walaa M. Sheta, Sahar Bayoumi, Bayumy A.B. YoussefProblem statement: Segmentation of 3D range images is widely used in computer vision as an essential pre-processing step before the methods of high-level vision can be applied. Segmentation aims to study and recognize the features of range image such as 3D edges, connected surfaces and smooth regions. Approach: This study presents new improvements in segmentation of terrestrial 3D range images … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 19,592 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEdge Detection in Gray Level Images based on the Shannon EntropyBaljit Singh, Amar P. SinghMost of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators. Gradient based edge detection methods, such as Roberts, Sobel and Prewitts, have used two 2-D linear filters to process vertical edges and horizontal edges separately to approximate first-order derivative of pixel … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,882 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,427 accessesView PDF Cite