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- W2185192657 abstract "One of the problems with machine vision based outdoor discrimination of weeds plants from crops is the varying daylight. Colours appear different when daylight conditions change. Green measured on a cloudy day is not observed as the same value green when measured an a very sunny day. One solution can be using a cover and artificial light but that is not always a desired or possible solution. The colours observed by the camera are the result of light that is reflected by plants and depends not only on the green colour of the plant but also on the composition of the incident light. A measure for the composition of the incident light is the colour temperature and an approximation for the colour temperature is the Correlated Colour Temperature (CCT). The objective of the research was to develop a procedure that results in that a colour in real life is projected on the same colour in an image processing system, regardless the colour (i.e. colour temperature) of the incident light. The focus was on the colour green, dominant for discrimination of weed and crop plants. A camera was mounted perpendicular towards the ground and was observing several coloured surfaces including a ColorChecker® and green grass during several hours of a day with daylight conditions varying from a cloudy to a very sunny sky. The reference consisted of a ColorChecker® card which was illuminated with daylight lamps with a colour temperature of 6500 K. and was used to develop a correction model that corrects the values of Red, Green and Blue based on the CCT. The developed procedure has two steps. In the first step the colour values are normalised by dividing each R, G and B component by the average of R, G and B. In the second step the model correction is applied. The results showed a considerable improvement of the constancy of the colours. The coefficient of variation was reduced from more than 6.5% to less than 1.0% for the ColorChecker® measurements and from more than 4.4% to less than about 1.0% for measurements on grass." @default.
- W2185192657 created "2016-06-24" @default.
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- W2185192657 date "2014-01-01" @default.
- W2185192657 modified "2023-09-27" @default.
- W2185192657 title "Colour temperature based colour correction for plant discrimination" @default.
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