A computer based system for matching colours during the monitoring of tea fermentation

Summary The design and development of a personal computer (PC) based system for monitoring changes in colour during the fermentation process that is used to produce tea is described. The technique is based on imaging the fermenting tea at different intervals of time and processing the colour images. A digital camera, together with a special lighting arrangement, was used to capture colour images during the fermentation process. The RGB colour model was used so that histogram dissimilarity measurements matched the colour of test images to a standard image colour. This dissimilarity measurement was represented by difference from the Manhattan norm (L1). The technique was compared with the visual methods used by expert tea tasters.

[1]  Jianying Hu,et al.  Matching and retrieval based on the vocabulary and grammar of color patterns , 2000, IEEE Trans. Image Process..

[2]  Ramin Zabih,et al.  Comparing images using color coherence vectors , 1997, MULTIMEDIA '96.

[3]  Mridul Hazarika,et al.  Chlorophylls and degradation products in orthodox and CTC black teas and their influence on shade of colour and sensory quality in relation to thearubigins , 1985 .

[4]  Roberto Brunelli,et al.  Histograms analysis for image retrieval , 2001, Pattern Recognit..

[5]  Jing Huang,et al.  Image indexing using color correlograms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[7]  Arnold W. M. Smeulders,et al.  Color-based object recognition , 1997, Pattern Recognit..