16 results for “edge detecting”

Set a search alert

Research ArticleOpen accessIn the abstractFPGA-Based Architecture for a Generalized Parallel 2-D MRI Filtering AlgorithmSami Hasan, Said Boussakta, Alex YakovlevProblem statement: Current Neuroimaging developments, in biological research and diagnostics, demand an edge-defined and noise-free MRI scans. Thus, this study presents a generalized parallel 2-D MRI filtering algorithm with their FPGA-based implementation in a single unified architecture. The parallel 2-D MRI filtering algorithms are Edge, Sobel X, Sobel Y, Sobel X-Y, Blur, Smooth, Sharpen, Gaussian and Beta (HYB). Then, the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 8,021 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHyperspectral Imagery for Mapping Disease Infection in Oil Palm Plantation Using Vegetation Indices and Red Edge TechniquesHelmi Zulhaidi Mohd Shafri, Nasrulhapiza HamdanProblem statement: Large scale plantation of oil palm trees requires on-time detection of diseases as the ganoderma basal stem rot disease was present in more than 50% of the oil palm plantations in Peninsular Malaysia. Approach: To deal with this problem, airborne hyperspectral imagery offers a better solution in order to detect and map the oil palm trees that were … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 10,505 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 accessAll words, across the recordA COMPARISION OF VARIOUS EDGE DETECTION TECHNIQUES IN MOTION PICTURE FOR IDENTIFYING A SHARK FISHShrivakshan Gopal Thiruvangadan, Chelliah ChandrasekarThe significant feature of detecting the motion image objects in this study it try identify the shark fish videos by removing the Background of the image. The main method involved in the detecting from the background is the foreground detection of the image. There are many techniques which usually ignore the fact that the background images consist of different image … …Journal of Computer Science, Vol. 9, Issue 11 · 18 Sep 2013 · 6,691 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAn Improved Approach for Detecting Car in Video using Neural Network ModelS. N. Sivanandam, T. Senthil KumarThe study represents a novel approach taken towards car detection, feature extraction and classification in a video. Though many methods have been proposed to deal with individual features of a vehicle, like edge, license plate, corners, no system has been implemented to combine features. Combination of four unique features, namely, color, shape, number plate and logo gives the application a … …Journal of Computer Science, Vol. 8, Issue 10 · 1 Sep 2012 · 7,151 accessesView PDF Cite