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matlab code for finger vein detection


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Created at: Tuesday 30th of October 2012 02:19:50 PM
Last Edited Or Replied at :Friday 01st of February 2013 11:38:28 PM
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akram gholami:matlab c..................[:=> Show Contents <=:]



eye detection matlab code


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Created at: Monday 01st of October 2012 04:41:26 PM
Last Edited Or Replied at :Monday 01st of October 2012 04:41:26 PM
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we are working on ..................[:=> Show Contents <=:]



code for brain tumour detection in matlab


Posted by: koolgal
Created at: Sunday 26th of June 2011 01:46:43 PM
Last Edited Or Replied at :Monday 12th of August 2013 01:45:10 PM
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Hi..
can i please get the code fordetecting tumours in brain using MRI images in ..................[:=> Show Contents <=:]



Brain Tumor Detection Using Matlab


Posted by: usman_sringeri
Created at: Wednesday 23rd of February 2011 05:09:05 AM
Last Edited Or Replied at :Tuesday 12th of July 2011 11:36:30 PM
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I want project rep..................[:=> Show Contents <=:]



GPS and GSM aircraft collision detection and avoidance


Posted by: Vinnya
Created at: Sunday 06th of June 2010 09:14:24 PM
Last Edited Or Replied at :Wednesday 14th of July 2010 07:48:01 AM
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Hi Sir,
I a..................[:=> Show Contents <=:]



OBJECT TRACKING AND DETECTION full report


Posted by: project topics
Created at: Sunday 18th of April 2010 09:29:36 AM
Last Edited Or Replied at :Friday 23rd of November 2012 02:02:31 AM
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nd non rigid objects.

¢ Object silhouette and contour: contour representation defines the boundary of an object. The region inside the contour is called the silhouette of the object. These are suitable for tracking complex non rigid shapes.
¢ Articulated shape models: These objects are composed of body parts that are held together with joints.
¢ Skeletal models: object skeleton can be extracted by applying medial axis transform to the object silhouette. This can be used to model both articulated and rigid objects.



Feature selection for tracking

The comm..................[:=> Show Contents <=:]



SHAPE DETECTION BASED MULTI OBJECT TRACKING full report


Posted by: seminar topics
Created at: Wednesday 31st of March 2010 02:51:53 AM
Last Edited Or Replied at :Wednesday 31st of March 2010 02:51:53 AM
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f the difference image point p and the estimate of the noise affecting the input image to update the filter gain . Then the updating module computes an estimate of the system model error on the basis of the filter gain and the value i.e.

The prediction module computes an estimate of at the next frame . Another simplified view of this process is shown in below

Results Verification:
The detection of the desired is to detect the wheel in the image or frames of a video and to make a red color blob or rectangle around the wheel and the results of the system is shown below
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Edge detection of textured images


Posted by: electronics seminars
Created at: Saturday 16th of January 2010 12:41:45 PM
Last Edited Or Replied at :Saturday 16th of January 2010 12:41:45 PM
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m can be carried out for edge detection of textured images also by preprocessing the image through discrete Filters. Experimental results on images containing various synthetic and natural textures have been carried out and a comparison of existing techniques is shown.
1. INTRODUCTION
Edge detection is the process of detecting the edges of the image. This task becomes particularly difficult in the case of textured images. Texture is a term that refers to properties that represent the surface of an object. We might define texture as something consisting of mutually related elements there..................[:=> Show Contents <=:]



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