Sentence examples similar to feature wavelength from inspiring English sources

Feature wavelengths were selected using regression coefficients (RCs) and competitive adaptive reweighted sampling (CARS).

This review first introduces the fundamental steps for selecting feature wavelengths from hyperspectral data and then describes the feature wavelengths derived from hyperspectral imaging applications to make a more effective and efficient multispectral real-time imaging system.

Indeed, the success of multispectral imaging heavily depends on the effectiveness of hyperspectral imaging (HSI) for providing the feature wavelengths.

However, selecting some feature wavelengths from hyperspectral images can be useful to develop a multispectral imaging system, which can meet the speed requirement of industrial production.

The best set of feature wavelengths was determined using RCs and the best calibration model obtained was based on RCs-LS-SVM.

The results showed that instead of selecting different sets of wavelengths for beef, lamb, and pork, a subset of feature wavelengths can be used for convenient industrial application for the determination of WHC in red meat.

A hyperspectral imaging system was investigated for determination of feature wavelengths to be used in a design of a multispectral system for real-time monitoring of water holding capacity (WHC) in red meat.

If the high dimensionality of hyperspectral data can be reduced properly in order to design/form a low-cost multispectral imaging sensor based on some selected feature wavelengths for certain applications, the technique would certainly be incomparable for process monitoring and real-time inspection.

In comparison of the performances of the full-spectra (680 950 nm) PLS regression model and the feature wavelengths PLS regression model showed that the MC-UVE GA PLS MC-UVE GA PLSseline offset correction comodeld multiplicative scatter correction (MSC) pretreatment withmuch baselinend 14 variables in toffsetere selecorrection

The mean pixel intensity (Feature(wavelength -Background wavelength)) wavelength -Background wavelengthpendent lowass normalizedion for each featusing 74] and consistency within each array was assessed by comparing normalized mean pixelowessnormalization(Cy3/Cy5) for each duplicate feature.

The GA identifies a set of features (wavelengths) that optimize the separation of the classes in a plot of the two or three largest principal components of the data.