Transcription of Chapter 3 FILTERS - Biomathematics and Statistics …
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Chapter 3 FILTERS - Biomathematics and Statistics …
Chapter 3 FILTERSMost images are a ected to some extent bynoise, that is unexplained variation in data:disturbances in image intensity which are either uninterpretable or not of interest. Imageanalysis is often simpli ed if this noise can be ltered out. In an analogous way lters areused in chemistry to free liquids from suspended impurities by passing them through a layerof sand or charcoal. Engineers working in signal processing have extended the meaning of theterm lterto include operations which accentuate features of interest in data. Employingthis broader de nition, image lters may be used to emphasiseedges| that is, boundariesbetween objects or parts of objects in images. FILTERS provide an aid to visual interpretation ofimages, and can also be used as a precursor to further digital processing, such as segmentation( Chapter 4).Most of the methods considered in Chapter 2 operated on each pixel separately. FILTERS changea pixel's value taking into account the values of neighbouring pixels too.
Chapter 3 FILTERS Most images are afiected to some extent by noise, that is unexplained variation in data: disturbances in image intensity which are either uninterpretable or not of interest.
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