Multispectral imaging for supporting colonoscopy and gastroscopy diagnoses

We have described the advantages of the multispectral imaging in different applications, outlined its challenges and analyzed approaches to multispectral objects detection. We have proposed, built and deployed multispectral acquiring device with liquid crystal tunnable filter for the endoscopy diagnosis. We have applied the device in the photodynamic diagnosis for cancer detection based on the spectral pixel signatures and supervised machine learning techniques. We have evaluated introductory step in the spectrum matching approach - spectrum estimation, by linear transformations of the pixels spectral signatures. We have used image dataset acquired of the GretagMacbeth colorchecker. We have examined visualization methods of multispectral image, helpful for a gastroscopy and co lonoscopy diagnostician. We have tried to calculate colour image by the linear regression methods.