Filtering of Two-dimensional Digital Images Using Weighted Averaging for Adaptive Selection of Weights
نویسندگان
چکیده
Many digital images, especially in biomedical fields, contain some disturbances. The image analysis depends on quality of the images that is why reduction or elimination (if it is possible) the disturbances is the key issue. There are many methods of improvement in the quality of the images and thus improve the quality of the image analysis, among them one of the simplest method is low-pass filtering such as arithmetic mean or its generalization, weighted mean.
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