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image segmentation mini projects using matlab


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Created at: Friday 01st of February 2013 01:27:12 PM
Last Edited Or Replied at :Saturday 02nd of February 2013 02:28:45 AM
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please kindly assist on image segmentation mini project using matlab pdf format
please kindly assist on image seg..................[:=> Show Contents <=:]



Medical image segmentation using clustering algorithm


Posted by: computer science technology
Created at: Friday 29th of January 2010 08:12:36 PM
Last Edited Or Replied at :Thursday 08th of November 2012 01:30:40 AM
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re we apply our improved watershed segmentation algorithm to it. The kmeans clustering is an unsupervised learning algorithm, while the improved watershed segmentation algorithm makes use of automated thresholding on the gradient magnitude map and post-segmentation merging on the initial partitions to reduce the number of false edges and over-segmentation. By comparing the number of partitions in the segmentation maps of 50 images, we showed that our proposed methodology produced segmentation maps which have 92% fewer partitions than the segmentation maps produced by the conventional watershed..................[:=> Show Contents <=:]



SPEECH RECOGNITION USING DSP full report


Posted by: computer science technology
Created at: Sunday 24th of January 2010 10:22:35 AM
Last Edited Or Replied at :Monday 16th of January 2012 12:34:38 AM
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um coefficients to process the input signal and vector quantization approach to identify the speaker. The above task is implemented using MATLAB. This technique is used in application areas such as control access to services like voice dialing, banking by telephone, database access services, voice mail, security control for confidential information areas, and remote access to computers.


Principles of Speaker Recognition
Speaker recognition can be classified into identification and verification. Speaker identification is the process of determining which registered speaker ..................[:=> Show Contents <=:]



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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et transform is capable of providing the time and frequency information simultaneously, hence giving a time-frequency representation of the signal. A multi-resolution approach is suggested to give a robust segmentation process. This is when an image is decomposed and represented at different scales. The discrete wavelet transform is implemented with a 2-channel analysis filter bank shown in Figure 3. First the low pass filter (intensity) and high pass filter (texture) are applied to the rows of the image. After this stage the columns are down sampled by a factor of 2 (the odd numbered ..................[:=> Show Contents <=:]



java based projects


Posted by: electronics seminars
Created at: Friday 15th of January 2010 12:42:03 PM
Last Edited Or Replied at :Thursday 28th of January 2010 06:14:17 AM
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e Algorithm
c. Load Balancing Using Proxy Server
d. MANET-Global Connectivity for Mobile IPv-based Ad Hoc Networks
e. Analysis Of Web Page Viewing From Customer And Performance Enhancement(Webmining)
f. Short-Time Band-Width Tariff Increase For Adaptive Applications
g. Cryptography and Steganography
h. Inventory Deluxe
i. Proxy Server
j. Supervising Secret key agreement in a level based hierarchy
k. Secured Data Communication using algorithm (or) BSF Encoding Decoding
l. Smart Communication Suite
m. Tamil Transliteration
n. Fashion Model Management
o. Media streaming ..................[:=> Show Contents <=:]



Image Processing for Edge Detection


Posted by: electronics seminars
Created at: Tuesday 12th of January 2010 08:27:06 PM
Last Edited Or Replied at :Tuesday 12th of January 2010 08:27:06 PM
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tion from the frames as a precursor step to feature extraction and object segmentation. This process detects outlines of an object and boundaries between objects and the background in the image. An edge-detection filter can also be used to improve the appearance of blurred or anti-aliased image streams. The basic edge-detection operator is a matrix area gradient operation that determines the level of variance between different pixels. The edge-detection operator is calculated by forming a matrix centered on a pixel chosen as the center of the matrix area. If the value of this matrix area is ab..................[:=> Show Contents <=:]



image processing projects


Posted by: electronics seminars
Created at: Monday 04th of January 2010 05:49:06 AM
Last Edited Or Replied at :Saturday 21st of April 2012 11:34:33 AM
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E COMPRESSION USING BIORTHOGONAL 3.7 WAVELET TRANSFORMS
g. IMPLEMENTAION OF IMAGE RESTORATION & IMAGE ENHANCE..................[:=> Show Contents <=:]



Image Processing


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:04:19 AM
Last Edited Or Replied at :Monday 22nd of September 2008 12:04:19 AM
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teps To Control Image

? Capture the image from an medical equipment wh..................[:=> Show Contents <=:]



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