In this paper we present a new vector ordering lRGB for colours modelled in the RedGreenBlue colour model. The RedGreenBlue colour model becomes with this new ordering and associated minimum and maximum operators a complete lattice. We also have defined a complement co for colours in the RedGreenBlue model, with which our new ordering is compatible. As an application we illustrate the extension of our morphological magnification method, described in 8 an
International audienceMathematical morphology is a powerful tool for filtering, segmentation and tex...
Morphological levelings represent a useful tool for the decomposition of an image into cartoon and t...
Abstract. Binary and grayscale mathematical morphology have many applications in different area. On ...
This paper addresses the problem of the extension of morphological operators to the case of color im...
Since mathematical morphology is based on complete lattice theory, a vector order-ing method becomes...
International audienceMathematical morphology is a powerful tool for image filtering, segmentation a...
A new vector ordering is proposed and its application to colour image processing demonstrated. Parti...
International audienceMathematical morphology is a powerful tool for image filtering, segmentation a...
The use of mathematical morphology in the CIE L*a*b* colour space is discussed. It is possible to im...
This chapter illustrates the suitability of recent multivariate ordering approaches to morphological...
Mathematical morphology is based on the principle of ordering. There is no natural way to order colo...
Morphological image processing has been widely used to process binary and grayscale images, with mor...
Morphological image processing has been widely used to process binary and grayscale images, with mor...
Applying morphological operators to colour images requires that the colour vectors can be ordered. I...
International audienceThe definition of morphological operators for colour images requires a total o...
International audienceMathematical morphology is a powerful tool for filtering, segmentation and tex...
Morphological levelings represent a useful tool for the decomposition of an image into cartoon and t...
Abstract. Binary and grayscale mathematical morphology have many applications in different area. On ...
This paper addresses the problem of the extension of morphological operators to the case of color im...
Since mathematical morphology is based on complete lattice theory, a vector order-ing method becomes...
International audienceMathematical morphology is a powerful tool for image filtering, segmentation a...
A new vector ordering is proposed and its application to colour image processing demonstrated. Parti...
International audienceMathematical morphology is a powerful tool for image filtering, segmentation a...
The use of mathematical morphology in the CIE L*a*b* colour space is discussed. It is possible to im...
This chapter illustrates the suitability of recent multivariate ordering approaches to morphological...
Mathematical morphology is based on the principle of ordering. There is no natural way to order colo...
Morphological image processing has been widely used to process binary and grayscale images, with mor...
Morphological image processing has been widely used to process binary and grayscale images, with mor...
Applying morphological operators to colour images requires that the colour vectors can be ordered. I...
International audienceThe definition of morphological operators for colour images requires a total o...
International audienceMathematical morphology is a powerful tool for filtering, segmentation and tex...
Morphological levelings represent a useful tool for the decomposition of an image into cartoon and t...
Abstract. Binary and grayscale mathematical morphology have many applications in different area. On ...