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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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e Cost of the research plan before approving it. Designing a research plan calls for Decisions on the data sources, research approaches, research instruments, Sampling plan, and contact methods.
 Data sources: - The researcher can gather secondary data, primary data, or both. Secondary data are data that were collected for another purpose and already exist somewhere. Primary data are data freshly gathered for a specific research Project.
 Research approaches: - Primary data can be collected in five main ways: through Observation, focus groups, surveys, behavioral data, and experiments...................[:=> 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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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) Words with shadow characters
iv) Words with composite characters
v) Characters with different height and width.
Devanagari owes its complexity to its rich set of conjuncts. Optical Character Recognition for Devanagari i..................[:=> 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,
SP, GE Medical Systems) offers the possibility to acquire 25*256*58(0.86mm, 0.86mm, 2.5mm) T1 weighted images with the fast spin echo protocol (TR =400, TE=16 ms, quality of every 256*256 slice acquired intra –operatively is fairly similar to images acquired with a 1.5 T conventional scanner, but the major drawback of the intra-operative image is that the slice remains thick (2.5mm).
The MRI images consist of film artifact or labels on the MRI such as patient name, age and marks. Film artifact. Those are removed using tracking algorithm. Here, starting from..................[:=> 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
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nt in a single step. Our results indicate that for the same false-positive fraction,

the supervised learning with adaptive thresholding obtained a greater than 75% sensitivity

compared to the ophthalmologist with approximately 90%. Future research is now focused on

fine tuning our algorithms on a larger data set.


The problem with retinal images is that the visibility of vascular pattern is usually not good. So,

it is necessary to enhance the vascular pattern. In this paper, a wavelet based

colored retinal image blood vessel segmentati..................[:=> 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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or 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, the pixels are clustered based on their color and spatial..................[:=> 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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disconnects the engine from the drive wheels, and reverse, which causes the drive wheels to turn in the opposite direction allowing you to back up.

Presented BY:-

One of the biggest things that has always separated drivers is whether they prefer an automatic transmission (sometimes known as a slushbox, because of the characteristic slushy feel it creates when shifting between gears) or a standard transm..................[:=> 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 ..................[:=> 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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stical 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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