We propose a method for identifying a set of colours for displaying 2-D and 3-D categorical images when the categories are unordered labels. The principle is to find maximally distinct sets of colours. We either generate colours sequentially, to maximise the dissimilarity or distance between a new colour and the set of colours already chosen, or use a simulated annealing algorithm to find a set of colours of specified size. In both cases, we use a Euclidean metric on the perceptual colour space, CIE-LAB, to specify distances. Keywords: pseudo-colour; look-up table; perceptually uniform colour space; RGB; LAB; colour quantization.
International audienceThe choice of a relevant colour space is a crucial step when dealing with imag...
Abstract—Finding color representations which are stable to illuminant changes is still an open probl...
Multiple views of the same area are used in many applications such as remote sensing and medical dia...
We propose a method for identifying a set of colours for displaying 2-D and 3-D categorical images w...
Ordinary language users group colours into categories that they refer to by a name e.g. pale green. ...
\u3cp\u3eThe following research elaborates on understanding and modeling the colour categorization p...
The distribution of colours in an image has proven to be very useful for object recognition. Buildin...
The following research elaborates on some of the 'semantic' and 'algorithmic' aspects of the categor...
This paper is an attempt to develop a coherent framework for understanding, modeling, and computing ...
A unique color space segmentation method is introduced. It is founded on features of human cognition...
Nominal color coding is the aesthetic and functional use of color to convey qualitative information ...
Many aspects of visual coding have been successfully predicted by starting from the statistics of na...
Most of the data stored in libraries are in digital form will contain either pictures or video, whic...
Abstract. This paper presents a framework for using high-level visual information to enhance the per...
Data visualizers are usually experts in statistics and the field they involved. Most of them have la...
International audienceThe choice of a relevant colour space is a crucial step when dealing with imag...
Abstract—Finding color representations which are stable to illuminant changes is still an open probl...
Multiple views of the same area are used in many applications such as remote sensing and medical dia...
We propose a method for identifying a set of colours for displaying 2-D and 3-D categorical images w...
Ordinary language users group colours into categories that they refer to by a name e.g. pale green. ...
\u3cp\u3eThe following research elaborates on understanding and modeling the colour categorization p...
The distribution of colours in an image has proven to be very useful for object recognition. Buildin...
The following research elaborates on some of the 'semantic' and 'algorithmic' aspects of the categor...
This paper is an attempt to develop a coherent framework for understanding, modeling, and computing ...
A unique color space segmentation method is introduced. It is founded on features of human cognition...
Nominal color coding is the aesthetic and functional use of color to convey qualitative information ...
Many aspects of visual coding have been successfully predicted by starting from the statistics of na...
Most of the data stored in libraries are in digital form will contain either pictures or video, whic...
Abstract. This paper presents a framework for using high-level visual information to enhance the per...
Data visualizers are usually experts in statistics and the field they involved. Most of them have la...
International audienceThe choice of a relevant colour space is a crucial step when dealing with imag...
Abstract—Finding color representations which are stable to illuminant changes is still an open probl...
Multiple views of the same area are used in many applications such as remote sensing and medical dia...