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The major difficulty lies in the efficient extraction of information from the images, information such as the frequencies of occurrence of specific and often subtle features, and their locations in the product or process space. View on SPIE. Save to Library. Create Alert. Share This Paper.

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Citations Publications citing this paper. Using multiple Process Analytical Technology probes to monitor multivitamin blends in a tableting feed frame. Texture analysis of images using principal component analysis Manish H. Bharati , John F.

References Publications referenced by this paper. Combustion monitoring for biomass boilers using multivariate image analysis.

Multivariate image processing - ISTE

It is, however, a solid fuel with some degree of moisture which feed rate and heat of combustion is often highly variable and difficult to control. Indeed, the variable bark properties such as its carbon content or its moisture content have an influence on heat released.

Moreover, the uncertain and unsteady bark flow rate increases the level of difficulty for predicting heat released. The traditional 3-element boiler control strategy normally used needs to be improved to make sure the resulting heat released remains as steady as possible, thus leading to a more widespread use biomass as a combustible. It has been shown in the past that the flame digital images can be used to estimate the heat released by combustion processes.