National Ict Australia Limited

Lin Gu

Antonio Robles-Kelly

Cong Phuoc Huynh

This disclosure concerns processing of electronic images, such as hyperspectral or multispectral images. A processor performs a method for estimating an illumination spectrum of an image which defines an input spectrum for each point of the image. The processor determines for each point of a first set of points a measure of variation in relation to the input spectrum of that point. The processor then selects one point from the first set based on the measure of variation. The processor determines a cluster of points based on the input spectrum of the selected point and determines an estimate for the illumination spectrum based on the input spectra of points in the cluster. Since the processor selects a point based on the measure of variation and then determines a cluster based on that point, it performs better than using other methods where the cluster is determined based on a random starting point, for example.

Image clustering for estimation of illumination spectra

The disclosure concerns processing of electronic images, such as hyperspectral or multispectral images () to determine an output color value for a component spectrum of a decomposed multispectral or hyperspectral image. A processor () first determines or accesses the component spectrum and a first color value for the component spectrum and receives an input color value for a pixel location in the image, wherein the component spectrum contributes to the pixel. The processor () then determines the output color value for the component spectrum based on the first color value for the component spectrum, the input color value and a utility score and stores the output color value for the component spectrum on a datastore (). It is an advantage that the processor () receives a color value for a pixel location but the output color value is not exactly the received color value but one that is determined based on a utility score.

Growing community of inventors

Eveleigh, Australia

Lin Gu