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MARUTI SUZUKI SEGMENTATION AND SALES TREND


Posted by: seminar class
Created at: Monday 18th of April 2011 04:19:44 AM
Last Edited Or Replied at :Saturday 02nd of February 2013 06:29:07 AM
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predisposed to launching the service, the findings support their inclination. They may even decide to study the issues further and do more research. The decision is theirs, but hopefully the research provided them with insight into the problem.
Along with this there may be 3 type of research methodology these are :-
They are –
• Exploratory Research
• Descriptive Research
• Casual Research
Our research is based on the exploratory research.
Exploratory Research
“ the objective of this research is to gather preliminary information that will help us to define the probl..................[:=> Show Contents <=:]



Segmentation of Optical Character Recognition


Posted by: seminar class
Created at: Monday 04th of April 2011 12:40:27 AM
Last Edited Or Replied at :Monday 25th of April 2011 06:09:49 AM
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rmance also provides a strong motivation for research in this field.
We start with the binary image of a document and the image is segmented into sub images corresponding to characters and symbols by the initial segmentation process. Then the initial hypotheses for each sub image are generated based on the features extracted from these sub images. These are composed into words which are varied and corrected if necessary.
Development of OCRs for Indian script is an active area of research today. Indian scripts present great challenges to an OCR designer due to the large number of letters in t..................[:=> Show Contents <=:]



Segmentation of Pathological and Healthy tissues with Reduced Weighted vectors using


Posted by: seminar class
Created at: Saturday 02nd of April 2011 01:33:28 AM
Last Edited Or Replied at :Saturday 02nd of April 2011 01:33:28 AM
brain mri segmentation, image enhancement brain tumor with mri input matlab code with fcm , self organizing map for color segmentation, segmentation of pathological and healthy tissues with reduced weighed vectors using , segmentation of pathological and healthy tissues with reduced weighted vector advantages,
y due to the similarity between the competitive learning process employed in the SOM and the vector quantization procedure. The main shortcoming of the SOM is that the number of neural units in the competitive layer needs to tbe approximately equal to the number of regions desired in the segmented image. The HSOM directly address the aforesaid shortcomings of the SOM. HSOM is the combination of self organization and graphic mapping technique.. The abstraction tree bears some resemblance to the major familiar quad tree data structure used in the several image processing and image analys..................[:=> Show Contents <=:]



BLOOD VESSEL ENHANCEMENT AND SEGMENTATION USING WAVELET TRANSFORM


Posted by: science projects buddy
Created at: Tuesday 14th of December 2010 07:40:11 PM
Last Edited Or Replied at :Sunday 04th of August 2013 11:51:43 AM
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put vectors that represent stimuli, and

a corresponding set of values on a nominal scale that represent category or class.

The relationship is obtained by applying an algorithm to training samples that

are 2-tuples (u,z), consisting of an input vector u and a class label z. The learned

relationship can then be applied to instances of u not included in the training

set, in order to discover the corresponding class label z


The learned relationship can then be applied to instances of u not included in the training

set, in order to discover the corresponding class label z ..................[:=> Show Contents <=:]



Brain Tumor detection using Color-Based K-means Clustering Segmentationfull report u


Posted by: projectsofme
Created at: Friday 01st of October 2010 12:33:15 AM
Last Edited Or Replied at :Friday 01st of October 2010 12:33:15 AM
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ation algorithm with K-means is to convert a given gray-level MR image into a color space image and then separate the position of tumor objects from other items of an MR image by using Kmeans clustering and histogram-clustering. Experiments demonstrate that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.

Color Image Segmentation
The purpose of this project is twofold: To ascertain the superiority of La’b’ color space over the RGB for segmentation in tune with natural perception, and to explore..................[:=> Show Contents <=:]



automatic transmission in cars full report


Posted by: seminar topics
Created at: Monday 15th of March 2010 08:29:54 PM
Last Edited Or Replied at :Monday 25th of April 2011 02:10:20 AM
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ser to the vehicle. People who just want to drive and don't care much about how the car works usually prefer the automatic trannie.
If you have ever driven a car with an automatic transmission, then you know that there are two big differences between an automatic transmission and manual transmission:
There is no clutch pedal in an automatic transmission car
There is no gear shift in an automatic transmission car. Once you put the transmission into Drive, everything else is automatic!
The need to shift from manual to automatic transmission
The key difference between a manual and an a..................[:=> Show Contents <=:]



automatic segmentation of pulmonary segments from volumetric chest ct scan


Posted by: Rajakumari
Created at: Friday 12th of March 2010 10:51:02 AM
Last Edited Or Replied at :Saturday 26th of January 2013 06:40:13 AM
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[siz..................[:=> Show Contents <=:]



Segmentation of Touching Characters in Devanagari


Posted by: computer science technology
Created at: Saturday 23rd of January 2010 08:47:51 AM
Last Edited Or Replied at :Saturday 23rd of January 2010 08:47:51 AM
Segmentation of Touching Characters in Devanagari pdf , Segmentation of Touching Characters in Devanagari ppt, Segmentation of Touching Characters in Devanagari , Devanagari, Characters , Touching, Segmentation , character segmentation in devanagari, offline devanagari character recognition ppt ,
cally separate from their neighbours,is used to hypothesize character boxes to betouching character boxes. The recognition rate of85% has been achieved on the segmented touchingcharacters...................[:=> Show Contents <=:]



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