Prewitt

Prewitt

Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow

     

бумажная книга



Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-6-1332-3634-9
Объём: 92 страниц
Масса: 160 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

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.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.

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