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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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that we are tying to analyze the data and sales trend of Maruti Suzuki. We had also collected some secondary data of different study done on Maruti Suzuki and based on that we are trying to present the sales trend analysis of Maruti Suzuki.
OBJECTIVES
The main objective of the study is to recognize the sales trend and segmentation of Maruti Suzuki .
Special challenges that must be identified and addressed:
• To know the segmentation and sales trend of Maruti Suzuki.
Along with this we are trying to assess company’s performance compared with that of the competition..
• To..................[:=> 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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tion of text printed in Devanagari. Our segmentation approach is a hybrid approach, wherein we try to recognize the parts of the conjunct that form part of a character class. We use a set of lters that are robust and two distance based classiers to classify the segmented images into known classes. We present a two level partitioning scheme and search algorithm for the correction of optically read Devanagari characters of text recognition system for Devanagari script. The methodology described here makes use of the structural properties of the script that are unique to Indian scripts.
An OCR h..................[:=> 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,
imilarity between data of different clusters is maximized and is used for pattern recognition in image processing. To recognize a given pattern in an image various techniques have been utilized, but in general two broad categories of classifications have been made: unsupervised techniques and supervised techniques. In the unsupervised method, data items that are to be clustered are not preclassified while in supervised clustering the data points are preclassified. One of the well-known unsupervised algorithms that can be applied to many applications such as image segmentation , fuzzy c ..................[:=> 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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indigenous health workers, diabetes

educators and community nurses.The aim of this work is first, to improve the accuracy and speed

of vessel segmentation using non-mydriatic retinal images, by the application of advanced

image processing techniques; and second, to apply machine intelligence tech-niques to offer

decision support and reduce the burden on specialist interpretation. Starting with a non-mydriatic

image, our aim is to provide an assessmentof risk of diabetes for the person being examined.





3.METHOD STUDY


Identification of anomalies in retin..................[:=> 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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the human soft tissue anatomy. The goal of magnetic resonance (MR) image segmentation is to accurately identify the principal tissue structures in these image volumes. A new unsupervised MR image segmentation method based on self-organizing feature map (SOFM) network is presented. The algorithm includes spatial constraints by using a Markov Random Field (MRF) model. The MRF term introduces the prior distribution with clique potentials and thus improves the segmentation results without having extra data samples in the training set or a complicated network structure. The simulation results demo..................[:=> 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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In this design, even when the vehicle is in gear but not moving (the turbine is forced to stop), the pump can still keep spinning without causing the engine to stall. When the vehicle speed is slow, the turbine is always spinning more slowly than the pump. However, when the vehicle moves at high speed, the turbine can spin at almost the same speed as the pump. Therefore, for modern cars, a lock up will occur between pump and turbine when the vehicle is at high speed in fourth gear, which makes the torque converter work more efficiently.
F
Figure 6 Figure 7: The Structure of a Torque Conve..................[:=> 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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project Report in the automatic segmentatoin of pulmonary segments fr..................[:=> 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
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boxes to betouching character boxes. The recognition rate of85% has been achieved on the segmented touchingcharacters...................[:=> Show Contents <=:]



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