42 results about "Gradient analysis" patented technology

Locating an eye includes generating an intensity response map by applying a 3-rectangle filter and applying K-mean clustering to the map to determine the eye. Locating an eye corner includes applying logarithm transform and grayscale stretching to generate a grayscale eye patch, generating a binary map of the patch by using a threshold based on a histogram of the patch, and estimating the eye corner by averaging coordinates weighted by minimal eigenvalues of spatial gradient matrices in a search region based on the binary map. Locating a mouth corner includes generating another intensity response map and generating another binary map using another threshold based on another histogram of the intensity response map. Locating a chin or a cheek includes applying angle constrained gradient analysis to reject locations that cannot be the chin or cheek. Locating a cheek further includes removing falsely detected cheeks by parabola fitting curves through the cheeks.

A method of detecting a presence or absence of subject matter of interest, for example, sheet explosives and/or other potential threat objects is provided by various local and/or global gradient analysis methods including determining characteristics of gradient information of regions in an X-ray image to determine if the regions are associated with subject matter of interest for which detection may be desired, for example, contraband, explosives and/or other prohibited or unauthorized material.

Concurrent Gradients Analysis (CGA), and two multi-objective optimization methods based on CGA are provided: Concurrent Gradients Method (CGM), and Pareto Navigator Method (PNM). Dimensionally Independent Response Surface Method (DIRSM) for improving computational efficiency of optimization algorithms is also disclosed. CGM and PNM are based on CGA's ability to analyze gradients and determine the Area of Simultaneous Criteria Improvement (ASCI). CGM starts from a given initial point, and approaches the Pareto frontier sequentially stepping into the ASCI area until a Pareto optimal point is obtained. PNM starts from a Pareto-optimal point, and steps along the Pareto surface in the direction that allows improving a subset of objective functions with higher priority. DIRSM creates local approximations based on automatically recognizing the most significant design variables. DIRSM works for optimization tasks with virtually any (small or large) number of design variables, and requires just 2-3 model evaluations per Pareto optimal point for the CGM and PNM algorithms.

The invention discloses a high-precision monitoring method for cyanobacterial blooms in a large shallow lake through an MODIS (Moderate Resolution Imaging Spectroradiometer) and a satellite. The high-precision monitoring method is characterized by comprising the following steps: screening recognition indexes of the cyanobacterial blooms (short for algal blooms) which are insensitive to the type and thickness of an atmospheric aerosol; combining the synchronous MODIS, LandsatTM/ETM and satellite image in 2000-2013 year and a gradient analysis result of land and water information to obtain a pure pixel index threshold value of the algal blooms; precisely calculating the area of the algal blooms in a mixed pixel (part of pixels covered by the algal blooms) of the algal blooms by using a pixel growth algorithm (APA); and furthermore, estimating the actual area of the algal blooms in the total water area of the lake and the areal distribution of the algal blooms. The high-precision monitoring method can be used for precisely obtaining the spatial and temporal distribution of the algal blooms in the shallow lake, accurately analyzing the generation and development condition and trend of the algal blooms, scientifically estimating the lake pollution control and ecological remediation effects and providing the scientific and technological support for making a scientific decision for water resource management and water environment protection of departments of water conservation, environment protection and the like.

The invention discloses a method for preprocessing noise reduction and block effect removal in low bit-rate video application. The method comprises the following steps: analyzing gradient by matrix eigenvalue; carrying out edge detection by a gradient analysis module; carrying out corrosion operation on a gradient map corresponding to an initial image to eliminate a gradient point generated by single noise; carrying out expansive operation to connect edges corresponding to the gradient point; performing motion detection by adopting a motion detection module to evaluate the motion area of the image; and selecting a two-sided filter with proper strength for filtration by adopting a filter strength determine module according to the code rate, gradient and motion characteristic. Two parameters of the two-sided filter are grey difference information and distance information. The method not only reduces noise, filters unimportant details for high efficient compression, avoids generation of the block effect, but also can play the effect of code rate control in certain degree.

The present invention aims at reducing the time required for a series of analyses in the sequential performance of gradient analyses under a variety of conditions. To this end, in a control apparatus for controlling the operation of a liquid chromatograph having a gradient analysis function in which a mobile phase composed of a plurality of mixed solvents is used and a chromatograph analysis is performed while the mixture ratio of the solvents is temporally changed, the liquid chromatograph is controlled so as to continuously change the mixture ratio of the solvents from an initial mixture ratio to a final mixture ratio when performing a sample analysis; and as to perform, before the sample analysis, a preparatory liquid supply in which the mixture ratio of the solvents is continuously changed from the initial mixture ratio to the final mixture ratio at a rate higher than that in the sample analysis.

The invention discloses an automatic robust three-dimensional face detection method. According to the method, three-dimensional face discrete point cloud having plenty of redundancy information and noise under different attitudes and expressions are taken as input, and pre-processing, and three stages including nose tip point positioning and face detection are mainly included; for the pre-processing stage, smooth processing on an inputted point cloud model is firstly carried out, secondly, face pre-segmentation for the three-dimensional model is carried out; for the nose tip point positioning stage, firstly, initial face rotation transformation is carried out, and a discrete contour point set of an original face is acquired, secondly, curve fitting and gradient analysis are carried out, and a most-prominent point is extracted from a nose contour as a nose tip point; for the face detection stage, the nose tip point is a ball center, an empirical value is taken as a radius to segment to obtain a face region, and attitude correction is further carried out. The method is advantaged in that the method is applicable to a large-scale three-dimensional face database, good robustness for the attitudes and the expressions is realized, a processing speed is fast, and accuracy is high.

The invention discloses an imaging model in small animal living bodies with echinococcus granulosus and a construction method thereof. The construction method comprises the steps of: feeding CF-1 male mice; carrying out in vitro culture and drug treatment on protoscolex; carrying out in vitro fluorescence imaging and fluorescence gradient analysis; pretreating mice with depilatory paste for experimental animals, injecting the abdominal cavity of each mouse with chloral hydrate anesthetic, implanting three groups of stained scoleces under Glisson capsules by injection, dividing the mice into three groups according to different groups of injected protoscolex; in a control group, injecting the livers of mice with protoscolex on which drug treatment is not carried out, collecting images every 12 hours after injection, carrying out fluorescence intensity analysis on the ROIs region, putting into a polyethylene cage after imaging, and carrying out in vitro fluorescence gradient detection in the positive control group. The construction method constructs a mouse model with echinococcus granulosus which can express luciferase, provides a platform for drug sensitive tests in living bodies with echinococcosis, and can monitor the growth and transfer of hydatid in the living model dynamically in a long term.

The invention provides a chemical method for trapping, chemically fixing and purifying greenhouse gases such as carbon dioxide, sulfur dioxide, sulfur trioxide, nitrogen oxides and the like, which is characterized by adopting an organic metal compound and a solvent as trapping and chemical fixing agents, wherein the organic metal compound is a coordination compound of nitrogenous organic bismuth and organic antimony; and the solvent is an organic solvent. By means of the method, the trapping and chemical fixing of all the greenhouse gases can be realized to form corresponding metal salts; and at different temperatures, selective gradient analysis can be realized so that the trapping and purification of single gas is further realized. The trapping and fixing agents have high fixing capacity, high analytic speed, low regeneration energy consumption and low price, are easy and simple to prepare, have high stability and can be used repeatedly. The chemical method can be widely used for carrying out trapping and chemical fixing on the greenhouse gases in flue gas, synthesis ammonia, natural gas, kiln gas and the like and can realize enrichment purification of the single gas in one step.

With the SVM gradient analysis, building a technique process to determine former correlation; then, finding out the correlated parameters to sense index, and creating the detection sample. This invention can provide quantitative analysis data for quality evaluation and level partition.

The present invention discloses a depth image fusion method applicable for a depth image-based rendering (DIBR) preprocessing process. The method comprises the following steps of performing gradient analysis on an original depth image, and pre-estimating empty areas in a new viewpoint image; generating an initial influence distribution map according to distribution of the pre-estimated empty areas; diffusing the initial influence distribution map by using a texture image in a dimensional transformation space; and fusing, based on the diffused influence distribution map, the original depth image and a pre-smoothed depth image, and generating an optimized depth image. According to the method, in an efficient dimensional transformation space, the original depth image and the pre-smoothed depth image are fused by using the texture feature fusion-based influence distribution map, so that the smoothing strength of the optimized depth image is adjusted adaptively in different areas, the empty areas are smoothed effectively so as to eliminate the empty impact, and non-empty areas are not smoothed excessively so as to avoid extra twist.

The invention relates to a transformer substation automatic site selection method based on multi-condition constraints. The method comprises the following steps: (1) data classification and optimization processing; consistent factors are divided into two types, namely transformer substation forbidden zone land factors and transformer substation site selection buildable zone factors, and then dataoptimization is carried out according to data specifications, so that the data is kept consistent in terms of contents such as space reference and the like. And (2) candidate region generation. Firstly, gradient analysis is performed to obtain a gradient area suitable for station building; combining all the forbidden regions to obtain a forbidden region; and finally, subtracting the forbidden areafrom the proper slope area to obtain candidate area data. And (3) refined screening based on the size of the transformer substation. And selecting a candidate area capable of accommodating the size of the substation. And (4) suitability comprehensive evaluation based on an analytic hierarchy process. And comprehensively evaluating the candidate regions, and sorting the candidate regions accordingto the fitness, thereby obtaining the candidate region with optimal evaluation. The invention aims to overcome the defects of the existing station selection method, refine the work of macroscopic site selection and realize microscopic station selection, thereby being beneficial to solving the station selection problem.

A system and method for selecting an enhancement vector for a plurality of enhancement functions using a cost function. A sharpness enhancement system is described that receives an input picture and outputs an enhanced picture, the sharpness enhancement system comprising: a plurality of enhancement functions that enhance the input picture; and a picture quality analyzer that selects an enhancement vector for the plurality of enhancement functions, wherein the enhancement vector is selected from a set of vectors based on a cost function that comprises: (1) a gradient analysis, and (2) a dynamic range analysis.

Gradient analysis may be utilized to determine frame and field repeat patterns in input video data. Those frame and field repeat patterns may then be analyzed to match them with characteristic patterns associated with telecine 3:2 and 2:2 pulldown video data, for example. In addition, a progressive detector may use combing analysis to determine whether or not a particular field is progressive or interlaced data. Then, this information, together with a field flag which indicates whether field or frame analysis is appropriate, may be utilized to distinguish telecine 2:2 or 3:2 pulldowns and interlaced and progressive data in some embodiments.

The invention relates to a safety protection type dining table based on gradient analysis, comprising a dining table structure, comprising a combined table top, inclined table legs, a horizontal seatplate, a cross beam and a plurality of table legs, wherein the horizontal seat plate is connected with a plurality of intermediate parts of the plurality of table legs; A visible light camera for photographing the periphery of the dining table to output a corresponding image of the periphery of the dining table; A curve matching device for connecting all the edge pixels to obtain a plurality of closed curves, respectively segmenting corresponding patterns from the grayscale image based on the plurality of closed curves, and emitting an infant presence signal when there is a pattern whose matching degree with a preset infant standard image exceeds a limit, otherwise, emitting an infant absence signal; A protective telescopic cross plate for deploying from below the modular desktop to facilitate placement of the infant upon receipt of the infant presence signal. By the invention, the dining table can be more suitable for infant targets.

A control device for a liquid chromatograph controls the operation of a liquid chromatograph having the gradient analysis function of, using a mobile phase formed by mixing a plurality of solvents, performing a chromatograph analysis while temporally changing the mixing ratio of the solvents. The control device causes a user to first set a basic gradient profile (step S12) and then set the number of stages in which the mixing ratio of the mobile phase at the start and/or end of a gradient is changed and the amount of change of the mixing ratio in each stage (step S13), and thereafter, on the basis of combinations of the mixing ratios of the mobile phase at the start and end of the gradient acquired from the input contents, creates a plurality of kinds of gradient profiles corresponding to the respective combinations (step S14).