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这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。-This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.
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medical image denoising via multiscale product thresholding
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Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in denoising, compression and feature detection processing problems for about twenty years. Numerous research works have proven th
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对医学图像的处理，使图像更加清晰，有去噪的功能-Medical image processing, which is sharper, denoising function
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The objective of this chapter is to define the problem of image denoising and describes about the condition in which image denoising is important. Also discuss about performance measures to evaluate image denoising results. Image processing is an imp
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image denoising and describes about the condition in which image denoising is important. Also discuss about performance measures to evaluate image denoising results. Image processing is an important step in clinical image diagnosis. Medical images ar
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The objective of this chapter is to define the problem of image denoising and describes about the condition in which image denoising is important. Also discuss about performance measures to evaluate image denoising results. Image processing is an imp
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discuss about performance measures to evaluate image denoising results. Image processing is an important step in clinical image diagnosis. Medical images are acquired and analyzed to identify the occurrence of abnormalities like tumor, frac
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the problem of image denoising and describes about the condition in which image denoising is important. Also discuss about performance measures to evaluate image denoising results. Image processing is an important step in clinical image diagnosis. Me
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define the problem of image denoising and describes about the condition in which image denoising is important. Also discuss about performance measures to evaluate image denoising results. Image processing is an important step in clinical image diagno
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Most of the medical images are affected by different types of noises during acquisition, storage and transmission. So denoising of an image is a basic step in medical image processing. The normally used filtering techniques are, median and mean filte
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