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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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entive is offered. Intercept interviews involve stopping people at a shopping mall or busy street corner and requesting an interview.
d) Online interviews: - There is increased use of online methods. There are so many ways to use the Net to do research. In this method, researcher can include a questionnaire on its Web site and offer a people to answer the questionnaire.
Step 3:-Collect the information
The data collection phase of marketing research is generally the most expensive and the most prone to error. In this case of surveys, four major problems arise. Some respondents will ..................[:=> 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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pixels for whole word. This line is called “Shirorekha”. Based on shirorekha each character can be divided in three parts. The components in the part above shirorekha are called upper modifiers. In second part there are characters and in third part there are modifiers of vowels called lower modifiers. Moreover, some characters combine to form a new character set called joint characters. A character may be in shadow of another character, either due to the lower modifier or due to the shapes of two adjacent characters.
i) Words showing header lines
ii) Words with lower modifiers
iii) W..................[:=> 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,
very complicated and exist some overlaps between different types of tissues. Moreover it is probable to have some variations in the size, location and form of the brain tumor tissues and usually contains any dropsy. Other tissues that contain any dead, bloodshed or shrinkage, can be as abnormality and so abnormal tissues boundaries can be blurred. Second problem is the MR image have formed from high number of pixels (for example 256*256*128), so segmentation problem, has a high computational complexity and needs much memory. This problem can be solved by using 2D repetitive methods or semi-au..................[:=> Show Contents <=:]


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
diabetic retinopathy using image processing ppt , 2nd review ppt of retinal image analysis using curvelet transform, retinal image analysis using curvelet transform 2nd review ppt , retinal blood vessel segmentation methods ppt, a new supervised method for blood vessel segmentation in retinal images ppt , matlab code for edge detection in microscopy images using curvelet transform, multifractal ppt , blood vessel enhancement and segmentation using wavelet transform, wavelet transfermation for retinal blood vessel patterns identification and classification , matlab code for segmentation of blood vessels, retinal vessel enhancement matlab ,
areas as they can be obtained

by trained rural health professionals such as 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 examin..................[:=> 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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ists 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 a segmentation technique: Self-Organizing Feature Map (SOFM) , as an alternative to the popular k-means clustering technique. The performance and efficiency of these two color techniques are compared.
SOM Based Image Segmentation

In this paper, a method for segmenting images based on SOM neural network is proposed. At first,..................[:=> 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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r 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 automatic transmission is that the manual transmission locks and unlocks different sets of gears to the output shaft to achieve the various gear rati..................[:=> 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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proj..................[:=> 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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t. Statistical informationabout the height and width of characterboxes, which are vertically 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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