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

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sir,i need edge avoider ppt and its advantages and disadvantages ....etc

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hi! i would like to have the matlab code for edge detection of blood vessel of angiogram images using classical image processing techniques like filtering first and then applying histogram equalization technique.
i am in my final year of graduation at NIT-Agartala and requires help for my project. ....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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looking for ppt n report for Edge detection of angiogram images using the classical image processing techniques ...... ....etc

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can anyone share source code foe canny edge detection and k means clustering on image using hadoop map reduce ? ....etc

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Hello Sir/Madam,

I am trying to implement edge detection for noisy image. I had implemented wavelet transform but it had not given good output. I am trying to use Curvelab but am unable to use it.Can you please help me with the matlab code to implement edge detection using curvelet.

Thank you ....etc

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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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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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