Traditional spectral based color reproduction technologies cannot achieve the faithful reproduction of the object color. There are errors between reconstructed images and original ones. To solve this problem, an error compensation method is researched in this paper after spectral reflectance reconstruction and dimension reduction of spectral data. Experimental data show that the proposed method can significantly improve spectral accuracy, decrease system disturbance and achieve device independent and scene unrelated features.
Detection of protein kinases P38 of Echinococcus granulosus and its homologous antibody have great value for early diagnosis and treatment of hydatidosis hydatid disease. In this experiment, n-type mesoporous silicon microcavities have been successfully fabricated without KOH etching or oxidants treatment that reported in other literature. We observed the changes of the reflectivity spectrum before and after the antigen-antibody reaction by n-type mesoporous silicon microcavities. The binding of protein kinases P38 and its homologous antibody causes red shifts in the reflection spectrum of the sensor, and the red shift was proportional to the protein kinases P38 concentration with linear relationship.
According to the properties and distribution of Macadam ellipses on the CIE1931 (x, y), a new uniform chromaticity diagram named (U, C) obtained by using the coordinate translation and non-linear compression along radius direction with the aid of the iterative algorithm. Compared with CIE 1931 (x, y), the uniformity of (U, C) is obviously improved. Moreover, it appears to perform as well as or better than these chromaticity diagrams in the IPT and CIECAM02-UCS color spaces.
Using small color difference data sets (Macadam ellipses dataset and RIT-DuPont suprathreshold color difference
ellipses dataset), and large color difference data sets (Munsell Renovation Data and OSA Uniform Color Scales dataset),
the uniformity of several color spaces and performance of color difference formulae based on these color spaces are
evaluated. The color spaces used are CIELAB, DIN99d, IPT, and CIECAM02-UCS. It is found that the uniformity of
lightness is better than saturation and hue. Overall, for all these color spaces, the uniformity in the blue area is inferior to
the other area. The uniformity of CIECAM02-UCS is superior to the other color spaces for the whole color-difference
range from small to large. The uniformity of CIELAB and IPT for the large color difference data sets is better than it for
the small color difference data sets, but the DIN99d is opposite. Two common performance factors (PF/3 and STRESS)
and the statistical F-test are calculated to test the performance of color difference formula. The results show that the
performance of color difference formulae based on these four color spaces is consistent with the uniformity of these
An eight-channel imaging spectrometer based on narrowband multi-spectral imaging technology is presented. After
acquiring eight images in real time, the spectrometer is used to process images, and finally the color image of object is
compounded. Focus is on the methods of image registration and spectral construction. The experiment indicates that
point mapping and cubic spline interpolation are effective, and the color composition image is close to the real one. The
system has the advantages of high spatial resolution, strong real-time character, hence it can be widely used in the field
of moving target recognition.
Using conventional camera to capture natural scenes with high dynamic range generally results in saturation as well as
underexposure, because of their limited dynamic range. And moreover, the image of conventional RGB camera with
RGB color filter lacks color accuracy. We present a promising solution - a high dynamic range multispectral camera
placing a Liquid Crystal Tunable Filter (LCTF) between lens and gray level imaging sensor. For each bands, gray level
images with different exposures are acquired separately and are combined into a multispectral high dynamic range image
afterwards. The high dynamic range multispectral image has higher color accuracy and greater dynamic range than the
images of the traditional RGB camera.