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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 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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advantages, such as always being able to produce a complete division of the image. However, its drawbacks include over-segmentation and sensitivity to false edges. We address the drawbacks of the conventional watershed algorithm when it is applied to medical images by using k-means clustering to produce a primary segmentation of the image before 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-s..................[:=> 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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he identity cla..................[:=> 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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(Tree) Decomposition.
Pyramid wavelet transform may not be suitable for quasi-periodic signals, whose dominant frequency channels are located in the middle frequency region .



3. Outline Of Propose Method

The algorithm for textured and non-textured images is given. for non-textured images only smoothing and edge detecting algorithm is required, while for detecting edge of textured image the image need to be preprocessed by passing it through wavelet pyramid filter as shown in Figure 4.

Figure: 4 Textured image Edge Detection Scheme

Algorithm For Textured Image Edge Detec..................[:=> 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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BSF Encoding Decoding
l. Smart Communication Suite
m. Tamil Transliteration
n. Fashion Model Management
o. Media streaming
p. Medical Diagnostic System
q. Right protection for catero logical data..................[:=> 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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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 above a given threshold, then the middle pixel is classified as an edge. Examples of gradient-based edge detectors are Roberts, Prewitt, and Sobel operators. All the gradient-based algorithms have kernel operators that calculate the strength of the slop..................[:=> 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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BASED IMAGE RETRIEVAL SYSTEM USING PCA..................[:=> 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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ed. The software captures this AVI image, displays them frame-by-frame in succession and converts them to DICOM image with required patient's details obtained from the Specialist during conversion. The frame of interest can be freezed and converted to Bitmap image, which can also be viewed on a separate window with options to brighten, darken, change the color combination, invert the image and restore the image. The converted DICOM image can be viewed on any Standard DICOM viewer. Mostly all the DICOM viewer will have provision to view the patient's details entered during conversion.

OBJECT..................[:=> Show Contents <=:]



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