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Veterinary Radiology & Ultrasound, 2008
Image processing or digital image manipulation is one of the greatest advantages of digital radiography (DR). Preprocessing depends on the modality and corrects for system irregularities such as differential light detection efficiency, dead pixels, or dark noise. Processing is manipulation of the raw data just after acquisition.
Winnie Y, Lo, Sarah M, Puchalski
+5 more sources
Image processing or digital image manipulation is one of the greatest advantages of digital radiography (DR). Preprocessing depends on the modality and corrects for system irregularities such as differential light detection efficiency, dead pixels, or dark noise. Processing is manipulation of the raw data just after acquisition.
Winnie Y, Lo, Sarah M, Puchalski
+5 more sources
International Journal of Image Processing and Vision Science, 2022
Digital image processing is the use of a digital computer to process a digital image using an algorithm. As a subcategory or area of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as noise ...
Wilhelm Burger, Mark J. Burge
openaire +2 more sources
Digital image processing is the use of a digital computer to process a digital image using an algorithm. As a subcategory or area of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as noise ...
Wilhelm Burger, Mark J. Burge
openaire +2 more sources
Technometrics, 1989
In image analysis, the shape of an object in a 2-dimensional image is usually summarised by some suitable feature descriptors. One method is to use the image moments for which we introduce area corrections since images are only observed on a discrete lattice.
Donald B. Percival +2 more
+5 more sources
In image analysis, the shape of an object in a 2-dimensional image is usually summarised by some suitable feature descriptors. One method is to use the image moments for which we introduce area corrections since images are only observed on a discrete lattice.
Donald B. Percival +2 more
+5 more sources
European Radiology, 1997
The image quality of a radiograph is determined by the local contrast, spatial resolution, latitude and the image noise. The goal of digital processing is to improve the visualisation of pathology by optimising these physical parameters. Processing parameters need to be chosen correctly in order to overcome the inverse relationship between contrast and
M, Prokop, C M, Schaefer-Prokop
openaire +2 more sources
The image quality of a radiograph is determined by the local contrast, spatial resolution, latitude and the image noise. The goal of digital processing is to improve the visualisation of pathology by optimising these physical parameters. Processing parameters need to be chosen correctly in order to overcome the inverse relationship between contrast and
M, Prokop, C M, Schaefer-Prokop
openaire +2 more sources