73 results about "Spectral matching" patented technology

Automated image quality assessment algorithms, which perform the functions of locating a region of interest, maximizing the image contrast, and ensuring the region of interest is properly centered in the image. Wherein the region of interest is located by spectral matching filter using a target spectrum obtained from samples of the image itself.

The invention provides methods, systems and algorithms for identifying high-resolution mass spectra. In some embodiments, an analyte is ionized and analyzed using high-resolution mass spectrometry (MS) at high mass accuracy (such as ≦75 ppm or ≦30 ppm) and the obtained mass spectra are matched with one or more prospective candidate molecules or chemical formulas. The invention provide, for example, methods and systems wherein the possible fragments that can be generated from the candidate molecules or chemical formulas are determined as well as the masses of each of these fragments. The invention provide, for example, methods and systems wherein the high-resolution mass spectra are then compared with the calculated fragment masses for each of the candidate molecules or chemical formula, and the portion of the high-resolution mass spectra that corresponds or can be explained by the calculated fragment masses is determined.

An unknown spectrum obtained from infrared or other spectroscopy can be compared to spectra in a reference library to find the best matches. The best match spectra can then each in turn be combined with the reference spectra, with the combinations also being screened for best matches versus the unknown spectrum. These resulting best matches can then also undergo the foregoing combination and comparison steps. The process can repeat in this manner until an appropriate stopping point is reached, for example, when a desired number of best matches are identified, when some predetermined number of iterations has been performed, etc. This methodology is able to return best-match spectra (and combinations of spectra) with far fewer computational steps and greater speed than if all possible combinations of reference spectra are considered.

What is disclosed is a novel system and method for generating a spectral matching guide for spot color print applications. Spectral matching values are determined for spot colors obtained from a library of spot colors. A spectral matching guide is created from the spot colors and their respective spectral matching values in a manner more fully disclosed herein. Thereafter, when a user desires to render a job in a particular spot color, the associated spectral matching value for that spot color can be obtained from the spectral matching guide. In other embodiments, recommendations in the form of a suggested printer to use, a media type, a halftone screen, and other meaningful assistance can be provided for selection of spot colors for a given print/copy job that are less sensitive to varying illuminations. The present spectral matching guide provides meaningful extensions in spectral color reproduction in print/copy job environments.

An invention is provided for concealing an object. The invention includes a plurality of electromagnetic radiation sources that generate an electromagnetic radiation spectrum, and a controller in communication with the plurality of electromagnetic radiation sources. The controller includes logic that compares the electromagnetic radiation spectrum generated from the plurality of electromagnetic radiation sources with an electromagnetic radiation spectrum from an environment surrounding the object. In operation, the controller adjusts the plurality of electromagnetic radiation sources to generate an electromagnetic radiation spectrum that matches the electromagnetic radiation spectrum of the environment surrounding the object.

Disclosed is a paired optically variable security element which comprises first and second optically variable thin-film multilayer interference devices in the form of optically variable foils or of printings made with inks comprising optically variable interference pigments, wherein said first and second interference devices exhibit spectral matching at a determined angle of incidence. Sets of optically variable devices and of coating compositions comprising optically variable pigments for the production of said paired optically variable security element are also disclosed, as well as the use of said security element for the protection of documents and goods, and security documents and goods carrying same.

The invention belongs to the field of hyperspectral remote sensing application and in particular relates to a spectral matching and recognition method. The invention overcomes the defects that the conventional spectral matching and recognition method only considers the whole similarity measurement between spectral lines but neglects the local difference measurement between the spectral lines, and provides a spectral segmentation-based matching and recognition method. The method comprises the following steps of: firstly, performing transformation processing on the spectral lines by adopting the multi-scale wavelet transform taking a second-order Gaussian derived function as a wavelet function; secondly, extracting an optimized inflexion of a spectral curve by using the designed inflexion multi-scale optimizing algorithm; and finally, segmenting the spectral lines based on the extracted optimized inflexion information, and recognizing the spectral lines by adopting a segmentation matching method. The spectral matching and recognition method has the advantages that: wave bands with larger ground object spectrum difference and wave bands with smaller spectrum difference can be segmented into different segmentations through the inflexion segmentation so as to protrude the wave bands with the larger spectrum difference and enhance the effectiveness of spectral matching and recognition.

The invention discloses a pulse signal detection method based on multi-pulse envelope spectrum matching. The method comprises the following steps: step 1, acquiring a sampling data sequence of a to-be-processed pulse signal; 2, calculating discrete Fourier transform of a sampling data sequence; 3, generating filter parameters according to known pulse signal frequency parameters; 4, performing frequency domain filtering on the multi-pulse signal by utilizing the generated filter parameters; 5, extracting an envelope of the multi-pulse signal after frequency domain filtering; 6, calculating theamplitude spectrum of the envelope by using Fourier transform; and 7, carrying out detection judgment on the pulse signal by utilizing the multi-pulse signal envelope spectrum. According to the multi-pulse detection method, the pulse string signal envelope is extracted through frequency domain filtering, high signal-to-noise ratio gain can be obtained, the envelope spectrum of the multi-pulse signal is matched with the ideal periodic rectangular signal frequency spectrum, the matching result is detected and judged, the detection probability of the pulse signal can be improved, and the false alarm probability can be reduced.

The invention discloses a quantum dot light-emitting thin film enhanced ultraviolet imaging detector, comprising a silicon-based surface array device of which the photosensitive area surface is of a pixel-level grid structure, a quantum dot light-emitting thin film and a micro-nano optical structure, wherein the micro-nano optical structure is used for reflecting visible light and increasing the permeability of ultraviolet radiation; the quantum dot light-emitting thin film is used for converting ultraviolet light to the visible light; the quantum dot light-emitting thin film is made of a quantum dot material or a quantum dot composite material; the silicon-based surface array device with the pixel-level grid structure is used for detecting the visible light emitted by the quantum dot light-emitting thin film; and the quantum dot light-emitting thin film and the silicon-based surface array device implement pixel-level coupling and spectral matching through the micro-nano optical structure. The detector disclosed by the invention has the advantages of adjustable and controllable response wave bands, relatively high sensitivity, fast response, large surface array, low cost and high image definition.

Methods and systems for calibrating system parameter values of a target inspection system are presented. Spectral Error Based Calibration (SEBC) increases consistency among inspection systems by minimizing differences in the spectral error among different inspection systems for a given specimen or set of specimens. The system parameter values are determined such that differences between a spectral error associated with a measurement of a specimen by the target inspection system and a spectral error associated with a measurement of the same specimen by a reference inspection system are minimized. In some examples, system parameter values are calibrated without modifying specimen parameters. Small inaccuracies in specimen parameter values have little effect on the calibration because the target system and the reference system both measure the same specimen or set of specimens. By performing SEBC over a set of specimens, the resulting calibration is robust to a wide range of specimens under test.

The invention discloses a multi-strategy image fusion method under a compressed sensing framework, mainly solving the problems of large calculated amount, high time complexity and large storage space of the traditional image fusion method. The multi-strategy image fusion method comprises the following implementation processes: inputting original images A and B and dividing the original images A and B into local images X1 and X2 of C*C in size; respectively carrying out Fourier transformation on X1 an X2 to obtain coefficient matrixes y1 and y2; observing y1 and y2 respectively by adopting a Fourier coefficient low-frequency full variable-density observing model to obtain observation vectors f1 and f2; calculating harmonic coefficients H1 and H2 and frequency-spectrum matching degree S according to f1 and f2; selecting a threshold T and calculating a weighting coefficient; comparing the weighting coefficient, the threshold and the frequency-spectrum matching degree to calculate a fused observation vector f; and iterating the observation vector f for twenty times by using a Split Bregman reconfiguration algorithm to finally obtain a required fused image. Compared with the traditional fusion method, the multi-strategy image fusion method provided by the invention has the advantages of low calculation complexity and good fusion effect, and can be used for video tracking, target recognition and computer vision.

Background noise, optionally spectrally matched, is performed directly in a coded domain. A Coded Domain Spectrally Matched Noise Injection (CD-SMNI) system modifies at least one parameter of a first encoded signal, resulting in corresponding modified parameter(s). The CD-SMNI system replaces the parameter(s) of the first encoded signal with the modified parameter(s), resulting in a second encoded signal. In a decoded state, the second encoded signal approximates background noise in the first encoded signal in a decoded state. Thus, the first encoded signal does not have to go through intermediate decode/re-encode processes, which can degrade overall speech quality. Computational resources required for a complete re-encoding are not needed. Overall delay of the system is minimized. The CD-SMNI system can be used in any network in which signals are communicated in a coded domain, such as a Third Generation (3G) wireless network.

The invention discloses a light conversion film which is characterized by comprising a film base body, a red light conversion agent and a first addition agent, wherein the weight of the red light conversion agent is 0.1-10% of the weight of the film; the weight of the first addition agent is 0.1%-10% of the weight of the film; the balance is the film base body; and a composition general formula of the red light conversion agent is Cal-xMxS:TM, wherein the x is less than 1 and is larger than or equal to 0, the M is one kind or more kinds of Mg, Ba, Sr, Zn, Cd, and Hg, and the TM is one kind or more kinds of Sm, Ce, Y, Gd, La, Pr, Eu, Cu, and Mn. The light conversion agent is mixed into a film especially an agricultural film, the film has light conversion effects, and application of the light conversion agent is convenient. The light conversion film is good in spectral matching with plant photosynthesis. A planting method that the light conversion film is used and meanwhile carbon dioxide is added is used, great effects on plant production and quality increase are achieved, diseases, pests, chemical pesticides do not exist, quality is good, the yield and others are increased, effects are remarkable, high economic value is provided, and a large-scale popularization prospect is achieved.

The invention relates to a photoetching projection objective wave aberration detection method based on a space image frequency spectrum, which is characterized in that the space image centering and the wave aberration solving are carried out through frequency spectrum matching. The method provided by the invention comprises the following steps: 1) computing the simulation space images corresponding to different Zernike aberration combinations by utilizing photoetching simulation software PROLITH and carrying out the Fourier transform on each space image; 2) carrying out the principal component analysis on simulation space image frequency spectrum sets and establishing a regression matrix between the principal component coefficients and the Zernike coefficients through linear regression analysis; 3) operating the space image acquisition program of a photoetching machine and finishing the acquisition of actual-measurement space images; 4) centering the actual-measurement space images by utilizing a frequency spectrum centering method and modifying the frequency spectrum of the actual-measurement space images into the frequency spectrum corresponding to ideal position space images; and 5) computing the wave aberration of a projection objective. The photoetching projection objective wave aberration detection method provided by the invention can avoid the errors caused by space image difference values, simplifies the testing procedures and improves the testing accuracy.

The invention discloses a double-pass absorption spectral matching laser amplifier and an amplifying method thereof. The laser amplifier comprises a pump light focusing lens, a double-color coupling mirror, a polarization selecting mirror, a gain medium, a curve face double-color coupling mirror, a one fourth wave plate, a curve face total reflection mirror, a seed laser focusing lens and a total reflection mirror, wherein the polarization selecting mirror, the gain medium, the curve face double-color coupling mirror, the one-fourth wave plate and the curve face total reflection mirror are sequentially distributed on the same optical axis, and the seed laser focusing lens and the total reflection mirror are arranged in the direction parallel to the optical axis. Polarization seed laser and pump light are respectively emitted into the focus lens and enter to optical structure to be subjected to double-pass absorption and laser amplification, and after the seed laser is amplified, output laser with different seed laser polarization states is output. The amplifier and the amplifying method effectively utilize the pump light, and light-laser converting efficiency is improved.

The present technique provides for the estimation and correction of bone induced spectral (BIS) artifacts. Spectral matching is employed to approximate the incident X-ray spectrum attenuated by bone and water with an X-ray spectrum attenuated by water alone. A table can be built to express the amount in apparent projection value shift for objects containing bone and water compared with water-like object when their corresponding normalized spectra match. The BIS error may thereby be determined from existing spectral error data obtained from spectral calibration. A corresponding correction factor may be determined from the shift value.

The invention discloses a method for monitoring the irrigation area of an irrigation area based on high-resolution satellite data. The method comprises the following steps: step 1, obtaining and preprocessing satellite remote sensing data; step 2, actually measuring sample point data; step 3, extracting an end member spectrum according to the real sample point data obtained in the step 2; step 4, calculating spectral similarity by adopting a statistical algorithm and a spectral waveform feature algorithm in a spectral matching method, and quantitatively analyzing the matching degree of the end member spectrum of the main crops in the research area and the target spectrum through three indexes; and step 5, calculating an SSV segmentation threshold value by adopting an OTSU adaptive threshold value algorithm to judge whether the irrigation area is an irrigation area, and if the SSV segmentation threshold value is smaller than the SSV segmentation threshold value, identifying the irrigation area spatial distribution condition of the research area, and finally obtaining the irrigation area range. The method is suitable for high-resolution satellite remote sensing data, meets the requirement for extracting small plot irrigation information, and can improve the accuracy of an irrigation area monitoring result.

The present invention provides a hyperspectral curve matching method based on an absorption peak characteristic. Firstly, a hyperspectral curve is subjected to enveloping line elimination and a spectral characteristic parameter matrix is extracted, then the matching vector of an absorption peak is searched one by one according to the cosine distance-Euclidean distance between a standard characteristic parameter matrix and each vector of a characteristic parameter matrix to be measured, and then the spectral matching is carried out according to a selected absorption peak characteristic parameter matrix. According to the method, an optimal characteristic parameter vector can be searched, thus the selection of the absorption peak is realized, and after the characteristic parameter matrix of the selected absorption peak is used to carry out hyperspectral matching, the a matched error is reduced to a certain extent.

The invention relates to a target spectral matching method. The target spectral matching method sequentially comprises the following steps: 1, acquiring a reference spectrum A={a1, a2, ..., an|ai>= 0, i epsilon 1, ...n} <T>, wherein ai is the spectral value of the reference spectrum A, n is the band number of the reference spectrum, and the band number of a test spectrum B is equal to that of the reference spectrum; 2, building a vector C={c1, c2, ..., cn|ci is not equal to 0, ci=c1, i epsilon 1, ...n} <T>, wherein ci is a real number constant; 3, building a linear equation system matrix M: M=|A C| or M=|C A|; 4, building a linear equation system: Mx=B; 5, solving a linear equation system: x=(M<T>M)<-1>M<T>B, wherein the solution corresponding to A is the content of the reference spectrum in the test spectrum B or the similarity degree of the test spectrum and the reference spectrum; the solution corresponding to C is the noise mean value and the system droop in the test spectrum. According to the invention, the calculation result is free from limitation on the value range, and the value is subject to linear variation according to the content of the reference spectrum in a target spectrum. The target spectral matching method has stronger anti-noise performance and the calculation result is free from influence of gaussian noise.