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Prewitt: Edge Detection, Image Processing, Convolution Kernel, Pixel, Convolution -

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2026-03-27
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Prewitt is a method of edge detection in image processing which calculates the maximum response of a set of convolution kernels to find the local edge orientation for each pixel. Various kernels can be used for this operation. The whole set of 8 kernels is produced by taking one of ... Pilns apraksts

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Prewitt is a method of edge detection in image processing which calculates the maximum response of a set of convolution kernels to find the local edge orientation for each pixel. Various kernels can be used for this operation. The whole set of 8 kernels is produced by taking one of the kernels and rotating its coefficients circularly. Each of the resulting kernels is sensitive to an edge orientation ranging from 0° to 315° in steps of 45°, where 0° corresponds to a vertical edge. The maximum response for each pixel is the value of the corresponding pixel in the output magnitude image. The values for the output orientation image lie between 1 and 8, depending on which of the 8 kernels produced the maximum response. This edge detection method is also called edge template matching, because a set of edge templates is matched to the image, each representing an edge in a certain orientation.

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Izdevējs OmniScriptum
Izlaides gads 2026
Vāka tips Mīkstais vāks
EAN 9786133236349
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146,80 € 195,73 €