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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 ..................[:=> 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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ed 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-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 methodo..................[:=> 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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s. Speaker recognition methods can be divided into text-independent and text-dependent methods. In a text-independent system, speaker models capture characteristics of somebody's speech, which show up irrespective of what one is saying. In a text-dependent system, on the other hand, the recognition of the speaker's identity is based on his or her speaking one or more specific phrases, like passwords, card numbers, PIN codes, etc. This paper is based on text independent speaker recognition system and makes use of mel frequency cepstrum coefficients to process the input signal and vector quantiz..................[:=> 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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ough Histogram filter. Edge detection algorithms are then applied on these images so as to get the boundary of different textures. For non-textured image boundary can be detected by smoothing and then directly applying edge detection algorithm .

2. Basic Concepts
2.1 Statistical analysis
Co-occurrence matrix: This method of texture description is based on the repeated occurrence of some Grey level configuration in the texture; this configuration varies rapidly with distance slowly in coarse textures. An occurrence of some grey level configuration may be described by a matrix of rel..................[:=> 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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le IPv-based A..................[:=> 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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iddle pixel is classified as an edge. Examples of gradient-based edge detectors are Roberts, Prewitt, and Sobel operators. A..................[:=> 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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HISTOGRAM EQUALIZATION TECHNIQUES
f. IMAGE COMPRESSION USING BIOR..................[:=> 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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ct frame that is required to find out the exact defect.

PROPOSED SYSTEM
This system will prove to be user friendly as this captures the medical AVI image, grabs the required header information, converts them to DICOM file format and stores it along with the patient's details, physicians details, etc? so that any physician can diagnose the patient without any other further details. Moreover there are many DICOM viewer available with many image processing provision.

Steps To Control Image

? Capture the image from an medical equipment which will normally be in AVI (Audio/Video Interlea..................[:=> Show Contents <=:]



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