Title :
Colour image filters based on hypercomplex convolution
Author :
Sangwine, S.J. ; Ell, T.A.
Author_Institution :
Sch. of Comput. Sci. Cybern. & Electron. Eng., Reading Univ., UK
fDate :
4/1/2000 12:00:00 AM
Abstract :
There are very few examples of true vector filters known for colour images. The authors introduce a new class of filter based on convolution with hypercomplex masks, and present three colour edge detecting filters inspired by the Prewitt, Sobel and Kirsch filters. These filters, when applied to a colour image, produce an almost greyscale image with colour edges where the original image had a sharp change of colour. They rely on a three-space rotation about the grey line of RGB space, implemented with the rotation operator R[]R-1 where R is a quaternion and R-1 is its inverse. Pixels of similar colour corresponding to opposing positions in the filter masks cancel to give a grey or monochromatic result, while pixels of different colour are differenced in a vector sense to give coloured edge pixels. The linearity of the new filters is discussed and the paper concludes with a discussion of the impulse response of a hypercomplex filter
Keywords :
convolution; edge detection; filtering theory; image colour analysis; image representation; Kirsch filters; Prewitt filters; RGB space; Sobel filters; colour edges; colour image filters; coloured edge pixels; edge detecting filters; greyscale image; hypercomplex convolution; hypercomplex masks; impulse response; linear vector filters; quaternion; three-space rotation;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20000211