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application of graph theory in real life ppt


Posted by:
Created at: Sunday 27th of January 2013 02:19:39 AM
Last Edited Or Replied at :Monday 28th of July 2014 07:08:34 AM
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I need an article for Application of graph theory in real life problem to s..................[:=> Show Contents <=:]



pill camera


Posted by: seminar class
Created at: Tuesday 08th of March 2011 04:22:45 AM
Last Edited Or Replied at :Sunday 04th of August 2013 12:26:31 PM
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ugh the large intestine, and then out in the stool. It takes snaps as it glides through digestive tract twice a second. T..................[:=> Show Contents <=:]



An application of genetic algorithm for edge detection of molten pool in fixed pipe w


Posted by: projectsofme
Created at: Saturday 09th of October 2010 01:12:10 AM
Last Edited Or Replied at :Saturday 09th of October 2010 01:12:10 AM
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lten pool geometrical features, such as weld bead width and penetration, either from the topside or backside of the molten pool, conveniently and in real time. Various efforts have been made to sense molten pool sizes in real time from the topside, such as ultrasonic detection, infrared sensing, pool image processing, and radiographic sensing, to produce weld quality control . The experiment using the vision sensor to control the TIG weld width for fixed stainless steel and aluminum alloy pipe was conducted using a plain mirror. The next development of the monitoring process was conducted us..................[:=> Show Contents <=:]



AN APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO FORENSICS full report


Posted by: project report maker
Created at: Monday 05th of July 2010 05:58:45 AM
Last Edited Or Replied at :Monday 05th of July 2010 05:58:45 AM
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turing element.
Morphological processing is capable of removing noise and clutter as well as the ability to edit an image based on the size and shape of the objects of interest. Morphological Image Processing is used in the place of a Linear Image Processing, because it sometimes distort the underlying geometric form of an image, but in Morphological image Processing, the information of the image is not lost.
In the Morphological Image Processing the original image can be reconstructed by using Dilation, Erosion, Opening and Closing operations for a finite no of times.
The major objectiv..................[:=> Show Contents <=:]



AN APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO FORENSICS


Posted by: project topics
Created at: Friday 02nd of April 2010 01:29:19 AM
Last Edited Or Replied at :Thursday 18th of October 2012 02:23:36 AM
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times.

The major objective of this paper is to reconstruct the class of such finite length Morphological Image Processing tool in a suitable mathematical structure using Java language.
The Morphological Image Processing is implemented and success..................[:=> Show Contents <=:]



javaring seminar report


Posted by: electronics seminars
Created at: Friday 01st of January 2010 12:39:56 AM
Last Edited Or Replied at :Thursday 15th of March 2012 04:04:43 AM
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ewer, an application for exploring iButton features from your PC. Before using the Viewer, you need only connect a serial port kit (DS9097U + DS1402D-DR8) or a parallel port kit (DS1410E + DS1402D-DB8 ) to your PC. iButton Viewer automatically finds iButtons or 1-Wire chips on your system and displays their serial numbers with a description of relevant features and menu options. As the iButton family grows, iButton Viewer's capabilities will be expanded to include the new iButtons. The OneWireViewer supports a wider array of iButtons and 1-Wire devices.
JVM AND RESOURCES OF IBUTTON
The Java ..................[:=> Show Contents <=:]



Digit Recognition using Neural Network


Posted by: Electrical Fan
Created at: Saturday 14th of November 2009 05:33:37 AM
Last Edited Or Replied at :Thursday 19th of January 2012 10:33:35 PM
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The neural network will be trained with a database consisting of handwritten digits provided by writers of various ages with many different sizes and writing styles. Numerals poorly drawn or cannot be classified are rejected. A very high recognition rate, even above 90% could be obtai..................[:=> Show Contents <=:]



Neural Networks for Unicode Optical Character Recognition


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:57:50 AM
Last Edited Or Replied at :Thursday 20th of October 2011 11:29:03 PM
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in fonts, styles and size. This irregularity undoubtedly widens when one deals with handwritten characters.
Hence the conventional programming methods of mapping symbol images into matrices, analyzing pixel and/or vector data and trying to decide which symbol corresponds to which character would yield little or no realistic results. Clearly the needed methodology will be one that can detect Ëœproximityâ„¢ of graphic representations to known symbols and make decisions based on this proximity. To implement such proximity algorithms in the conventional programming one needs to write endles..................[:=> Show Contents <=:]



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