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Canny edge detector
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21	CrossMark_Color_Stacked_p Add to Reading List Source URL: www.cs.dartmouth.edu Language: English - Date: 2013-09-11 09:59:44 Computing Imaging Classified information Data security Sanitization Redaction Canny edge detector Screenshot Pixel Image processing Computer vision Computer graphics
22	Using snakes with asymmetric energy terms for the detection of varying-contrast edges in SAR images Benjamin Seppke, Leonie Dreschler-Fischer and Nathanael H¨ubbe University of Hamburg, MIN Faculty, Dept. of Informatics Add to Reading List Source URL: kogs-www.informatik.uni-hamburg.de Language: English - Date: 2010-09-29 11:06:04 Active contour model Synthetic aperture radar Telecommunications engineering Canny edge detector Edge detection Snake Image gradient Envisat Technology Computer vision Image processing Spaceflight
23	Maejo Int. J. Sci. Technol. 2015, 9(01), Maejo International Journal of Science and Technology ISSNAvailable online at www.mijst.mju.ac.th Add to Reading List Source URL: www.mijst.mju.ac.th Language: English - Date: 2015-03-16 02:53:31 Imaging Canny edge detector Edge detection Segmentation Colon Laplace operator Image X-ray computed tomography Region growing Image processing Mathematical analysis Computer graphics
24	Restricted Coloring using Saliency-based Image Segmentation Marc ten Bosch∗ Brown University Seong Jae Lee∗ Brown University Add to Reading List Source URL: marctenbosch.com Language: English - Date: 2009-03-13 23:02:59 Canny edge detector Kadir–Brady saliency detector Image processing Computer vision Segmentation
25	Performance analysis of OFDM modulation on indoor broadband PLC channels Add to Reading List Source URL: jis.eurasipjournals.com Language: English Computer graphics Steganography Topology Steganalysis Digital photography Canny edge detector Edge detection Pixel Embedding Image processing Computer vision Mathematics
26	Using Pattern Recognition to Automatically Crop Framed Art Ilya Kavalerov:28 Introduction The Indianapolis Museum of Art (IMA) recently shared thousands of highresolution images from its permanent collectio Add to Reading List Source URL: f.cl.ly Language: English - Date: 2014-09-24 13:22:25 Computer graphics Signal processing Canny edge detector Edge detection Gaussian blur Sobel operator Hough transform Median filter Noise reduction Image processing Computer vision Imaging
27	Knowledge Representation for Computer Vision: The VEIL Project Keith Price* Institute for Robotics and Intelligent Systems University of Southern California Los Angeles, California[removed]removed] Add to Reading List Source URL: www.isi.edu Language: English - Date: 2000-12-01 13:05:10 Reasoning Software Statistics Ontology LOOM Runway Knowledge representation and reasoning Edge detection Canny edge detector Computer vision Image processing Science
28	SUPPORTING RANGE AND SEGMENT-BASED HYSTERESIS THRESHOLDING IN EDGE DETECTION Lu Wang, Suya You, Ulrich Neumann University of Southern California ABSTRACT One of the important steps in gradient-based edge detection Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2008-06-11 20:00:43 Artificial intelligence Edge detection Thresholding Object recognition Ridge detection Canny edge detector Kadir–Brady saliency detector Image processing Computer vision Vision
29	Automatic Registration of Large-Scale Multi-sensor Datasets Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2010-10-29 19:44:11 Signal processing Segmentation Region growing Pixel Image resolution Canny edge detector Image processing Computer graphics Imaging
30	EXPLORE MULTIPLE CLUES FOR URBAN IMAGES MATCHING Quan Wang, Suya You Computer Science Department University of Southern California Los Angeles, California, U.S.A. ABSTRACT Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2010-10-29 19:44:14 Artificial intelligence Feature detection Edge detection Feature Canny edge detector Image gradient Histogram of oriented gradients Scale-invariant feature transform Computer vision Image processing Vision