Multispectral image analysis for robust prediction of astaxanthin coating.

Multispectral Imaging for Determination of Astaxanthin Concentration in Salmonids

Multispectral imaging has been evaluated for characterization of the concentration of a specific cartenoid pigment; astaxanthin. 59 fillets of rainbow trout, Oncorhynchus mykiss, were filleted and imaged using a rapid multispectral imaging device for quantitative analysis. The multispectral imaging device captures reflection properties in 19 distinct wavelength bands, prior to determination of ...

Fusion of Panchromatic and Multispectral Images Using Non Subsampled Contourlet Transform and FFT Based Spectral Histogram (RESEARCH NOTE)

Image fusion is a method for obtaining a highly informative image by merging the relative information of an object obtained from two or more image sources of the same scene. The satellite cameras give a single band panchromatic (PAN) image with high spatial information and multispectral (MS) image with more spectral information. The problem exists today is either PAN or MS image is available fr...

Multispectral antireflection coating simultaneously effective in visible, diode laser, Nd-YAG and eye safe laser wavelength

Ultracompact Fully Integrated MegaPixel MultiSpectral Imager

Multispectral imaging or imaging spectroscopy obtains spectral content of an object by dividing the image data, pixel by pixel, into wavelength (color) bands. The resulting 3D data cube (x, y, λ) allows materials to be identified by their pixel spectral content at multiple wavelengths in addition to their spatial characteristics. A new class of multispectral imaging systems are being developed ...

Lossless Region-based Multispectral Image Compression

In this paper we present a lossless coding scheme for multispectral images. The algorithm di ers from classical lossless approaches of multispectral image coding (1, 2, 3) in the fact that it is based on an independent coding of spectrally homogeneous regions. Regions that present a common multispectral signature are segmented. Then, spectral prediction is performed within these regions and nal...