ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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An Adept Edge Detection Algorithm for Human Knee Osteoarthritis Images

Abstract:
In this paper, it is discussed the Sobel edge detection operator and its enhanced algorithm.
It is implemented a competent execution time for this new enhanced algorithm to detect edges for human knee osteoarthritis images in different critical situations.
The proposed method is able to exhibit discernible view of salient features of most osteoarthritis images with approximately 50% better execution time compare to classical Sobel method.
Als ....etc

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EDGE Compact and EDGE Classic Packet Data Performance
Abstract
Even though cellular radio services have been extremely successful in providing untethered voice communications, wireless data services have captured only a limited market share so far. One obstacle for wireless data services is their limited peak bit rates. Existing wireless data rates, up to several tens of kb/s, may be over one order of magnitude short of what is required to make popular applications user-friendly. To accomplish these necessities we go for ....etc

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I had a bone scan of knee and the report says photopenic defect of knee in relation to knee prothesis..
What does this mean? ....etc

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Abstract

Background

Despite significant progress in imaging technologies, the efficient detection of edges and elongated features in images of intracellular and multicellular structures acquired using light or electron microscopy is a challenging and time consuming task in many laboratories.

Results

We present a novel method, based on the discrete curvelet transform, to extract a directional field from the image that indicates the location and direction of the edges. This directional field is then processed using the non-maximal suppression ....etc

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edge detection in images using map reduce code

Abstract

Now a day's amount of data continues to grow as more information becomes available. The Exponential growth of data and the increasing user s demand for real time satellite data has forced remote sensing service providers to deliver the required services. The processing of large amount of images is necessary when there are satellite images involved.This paper presents a distributed technology, mapreduce programming paradigm,which is based on Hadoop platform to process large-scale satelli ....etc

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please provide the full seminar report and ppt on mentioned above title ....etc

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ABSTRACT

Edge detection is one of the most important steps leading to the analysis of processed image data. Image texture segmentation is an important problem and occurs frequently in many image-processing applications. The image can be segmented by detecting there boundaries. This paper presents some algorithms that are required for Edge detection of textured image. Algorithms for Edge detection are presented that works directly for non-textured image. These algorithm can be carried out for edge detecti ....etc

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The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders. ....etc

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looking for ppt n report for Edge detection of angiogram images using the classical image processing techniques .. ....etc

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