A calendar of conferences from May 2010 to January 2011 is presented which includes the Biocommunications Association/Health Sciences communications Association (HESCA) conference in Boston, Massachusetts in June 2-6,...
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A calendar of conferences from May 2010 to January 2011 is presented which includes the Biocommunications Association/Health Sciences communications Association (HESCA) conference in Boston, Massachusetts in June 2-6, the 65th annual meeting of the Association of Medical Illustrators in Oregon in July 28 to August 1, and the Imaging Science and Technology - Electronic Imaging conference in California in January 23-27.
Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many ...
Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many image enhancement technique used in imageprocessing. The proposed method have been presented in this paper attempt to improve the performance of histogram equalization with different kind of medical image by using Gaussian filter and gamma where combined together to improve the illumination, contrast of images ,reduce the noise, and also improve image quality coefficients. Try to measure the entropy of image and compare the result of output image with input image and to give desired result. The quality coefficients for the medical images processed with the HE and Gaussian filter and Gamma with certain value, according to the scientific proof. When the image quality was improved, the visual perception was improved.
In many image coding methods, the discrete cosine transform (DCT) is used. When the compression ratio is increased, blocking artifacts are generated in the reconstructed image due to quantization error. To resolve thi...
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The article describes the method of noise elimination is linear averaging over neighboring pixels in a spatial neighborhood. In this case, the arithmetic mean of its neighbors is used as the new value of the central p...
The article describes the method of noise elimination is linear averaging over neighboring pixels in a spatial neighborhood. In this case, the arithmetic mean of its neighbors is used as the new value of the central pixel. The larger the window size, the stronger the averaging occurs. Linear averaging partially impairs the perception of the image and complicates its further analysis, since it blurs the contours of objects. Adaptive filters are used to preserve the contours of objects in the image, which can change the filter coefficients in accordance with the features of the processed image. Most adaptive filters are local (implement "windowing"). For each position of the sliding processing window, either the filter mask counts are recalculated or the window configuration is changed. The disadvantage of adaptive filters is that the synthesis of these filters requires precise knowledge of some static characteristics of signals and noise, which is difficult in conditions of uncertainty in the field of application of video sensor-based computing devices.
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