571results about "Method using image detector and image signal processing" patented technology

The invention provides use of one or more emitted beams of radiation (16), for example, laser beam(s), in combination with an image capturing means (14), for example, one or more video cameras and / or optical elements to detect particles (30), for example smoke particles, located in an open space (12).

A system, suitable for high-speed operation, by which raw product (45), such as a slab of meat, can be accurately processed, such as by slicing into segments of desired weight, comprises a product profiling apparatus (15). The product profiling apparats (15) meassures the profile of the physical process. The product profiling apparatus (15) includes line lasers (75, 85) for directing a line of light across the upper and lower surfaces of the product (45) and visual image cameras (80, 90) directed toward the profile surface to capture, at fixed increments, the product profile. The product may also be weighed and the product density determined from the overall profile measurements. A controller (150) receives this data, and instructs the physical process accordingly.

Methods and electronic devices for performing color-based reaction testing of biological materials. The method includes capturing and interpreting digital images of an unexposed and later exposed paddle at various delay times within an automatically calibrated environment. The test paddle includes a unique identification mechanism (UID), a Reference Color Bar (RCB) providing samples of standardized colors for image color calibration, compensation and corrections, and several test-specific sequences of Chemical Test Pads (CTP). The method further includes locating the paddle in the image, extracting the UID and validating the paddle, extracting the RCB and locating the plurality of CTP in each image. The method further reduces image noise in the CTP and calibrates the image automatically according to lighting measurements performed on the RCB. To determine test results, the method further determines several distances between the CTP and its possible trajectory in the color space described by the Manufacturer Interpretation Color Chart.

Method, apparatus and arrangement according an exemplary embodiment of the present invention can be provided for generating an image of at least one portion of an anatomical structure. For example, the portion can have an area greater than about 1 mm2, and the image can have a resolution a transverse resolution that is below about 10 μm. For example, light can be scanned over such portion so as to generate first information which is related to the portion, where the light may be provided through a diffraction arrangement to generate a spectrally dispersed line. Method, apparatus and arrangement according to a further exemplary embodiment of the present invention can be provided for positioning a radiation or optical beam within an anatomical structure based on signals generated by scanning a portion of the structure using the same or a different beam.

A polarization image processing apparatus includes an illumination unit, a splitter, first and second polarization imaging devices, and a processing unit. The illumination unit illuminates a first surface of a transparent or translucent object with first illumination light polarized in a first direction and second illumination light polarized in a second direction, which crosses the first direction, alternately. Illumination axes of the first illumination light and second illumination light substantially coincide with an imaging axis of the polarization image processing apparatus. The splitter divides returning light into at least two light components. The first and second polarization imaging devices receive the light components. The processing unit detects a condition of a second surface of the object on the basis of first and second polarization images obtained by the first polarization imaging device and third and fourth polarization images obtained by the second polarization imaging device.

A polarization imaging apparatus includes a laser light source and an image pickup element. Object light and reference light each include a first polarized-light component polarized in a first direction and a second polarized-light component polarized in a second direction that is different from the first direction. The image pickup element simultaneously captures an image of an interference pattern including (i) a first interference figure, (ii) a second interference figure, (iii) a third interference figure, and (iv) a fourth interference figure. The polarization imaging apparatus includes a reconstructing section generating respective reconstructed images of the object in regard to the first and second polarized-light components, from the first to fourth interference figures, and a polarized-light-image-calculating section obtaining polarized-light images from the reconstructed images.

System for performing chemical spectroscopy on samples from the scale of nanometers to millimeters or more with a multifunctional platform combining analytical and imaging techniques including dual beam photo-thermal spectroscopy with confocal microscopy, Raman spectroscopy, fluorescence detection, various vacuum analytical techniques and / or mass spectrometry. In embodiments described herein, the light beams of a dual-beam system are used for heating and sensing.

The invention discloses a diesel vehicle tail gas smoke intensity detection method based on a deep residual error learning network. The diesel vehicle tail gas smoke intensity detection method comprises the following steps: acquiring a diesel vehicle tail gas image by using a camera mounted on a road; acquiring a label value of the deep residual error learning network by using an integral gasoline-diesel oil automobile tail gas telemetering device; establishing the deep residual error learning network; pretreating the acquired diesel vehicle tail gas image, training, verifying and testing the established diesel vehicle tail gas image, and applying the obtained deep residual error learning network to real-time on-line detection on the smoke intensity of a diesel vehicle tail gas. Compared with a conventional method, the diesel vehicle tail gas smoke intensity detection method has the advantages that the depth of a network can be increased on premise that the performance of the network is ensured, and a system has relatively high accuracy and relatively good generalization, so that the diesel vehicle tail gas smoke intensity detection accuracy can be improved.

The invention provides a substrate appearance inspection device. detailed appearance inspection of whole surface can be carried out without taking out glass substrate on the product line, accordingly production period is shorten and manufacture equipment is miniaturized. The substrate appearance inspection device (1) has an illumination device (11) generating illumination light for irradiation on surface of substrate (50) on the product line (52); a camera (13) picking-up image of surface of the substrate (50) illuminated by the illumination device (11); and a moving mechanism integrally moving the illumination device (11) and camera (13) in crossed direction of transmission direction of the substrate (50) on the product line (52), the camera (13) is collocated outside of range of light beam of specular reflection light by the substrate (50) surface from the illumination light of the illumination device (11).

An apparatus and method of quantitatively obtaining a measurement of pollen of a plant. One method of counting comprises imaging the sample with the pollen well-distributed in the focal plane of the imager. Image evaluation software can identify and count objects in the image that are consistent with pollen. Total pollen count for the plant can be derived from the count of pollen of the sample, proportionality of the sample volume to the starting volume, and proportionality of area of sample imaged to total area of sample. Pollen quantification can be used for research or commercial production decisions relative to the plant or its seed.

A test system includes a rotatable turntable, a loading section, a first image pickup section, a second image pickup section, a system control section and an unloading section. The loading section loads a display panel assembly onto the stage. The loading section recognizes a unique number of the display panel assembly. The first image pickup section obtains an active area image data from an active area image. A valid first active area defect is detected using an active area image data obtained from an active area image displayed on the display panel assembly. An inactive area defect is detected based on an inactive area image data and a reference inactive area image data.

The invention discloses a river and lake water quality monitoring method based on high-resolution satellite images. The river and lake water quality monitoring method comprises satellite image radiometric calibration, atmospheric correction, RPC orthographic correction, image splicing, automatic water body extraction, water quality quantitative inversion modeling, water quality quantitative inversion model precision verification and water quality quantitative inversion model application. The invention relates to the technical field of inland water environment remote sensing science, in particular to a river and lake water quality monitoring method based on a high-resolution satellite image, which has the advantages of wide monitoring range, high speed, low cost and convenience in long-termdynamic monitoring by utilizing a remote sensing technology. A multiple linear regression model between different water quality parameter concentrations and image waveband reflectivity is establishedby combining sampling data of a water quality monitoring station and representation of various substances in a water body on a remote sensing image, and a relative error and an absolute error of themodel are calculated according to an inversion result, so as to promote the model, and water quality evaluation of the whole river and even a water area with a larger range is achieved.

Service can be offered free of charge and the cost of a skin condition measuring device can be reduced by effectively using data on the occasion of obtaining an analysis result by transmitting measurement data by the skin condition measuring device to a server of a company providing a service of analyzing the measurement data. When a request is made from a contractor client to acquire data registered in a measurement data database, authentication is executed based on a contractor ID input from the contractor client. Additionally, when the measurement data database is searched from a contractor database based on the contractor ID, a search level and an access level are obtained. The contractor client is permitted to search the measurement data database within a range of the search level and the access level.

A biosensing device for sensing brightness of a bio sample from frames of a video signal, has circuitry (40) arranged to receive the video signal and determine a brightness of a given area (110) of one or more of the frames in real time. A controller (50) adjusts boundaries of the given area, and uses the measures of brightness for different boundaries, to determine location of edges of the sample, then sets the boundaries according to the edges for subsequent measurements of brightness. By determining the brightness in real time, the given area can be adjusted in real time. By adjusting the given area based on real time assessments of brightness, various common errors or tolerances in sample shapes and locations can be compensated without the need for the software to carry out operations at pixel rates.

Egg candling methods and apparatus are provided wherein black rot eggs can be identified and removed. A method of identifying live eggs includes illuminating eggs in a carrier with light from a light source; receiving light passing through each egg at a light detector; generating an output signal that corresponds to light received at a light detector for each respective egg; analyzing the output signal for each egg to determine opacity of each egg; removing eggs having an opacity less than a first opacity value; and removing eggs having an opacity greater than a second opacity value that is different from the first opacity value.

The invention discloses an online monitoring device for ablation structure morphology and products and a monitoring method of the online monitoring device. According to the online monitoring device, an X-ray emitting / receiving device is adopted to acquire a micro structure image of a test part; a high resolution CCD (Charge Coupled Device) camera is adopted to acquire a surface morphology image ofthe test part; an infrared thermometer together with a red light channel and a green light channel of the CCD camera is adopted to acquire temperature distribution of a whole field; a high spectrum camera is adopted to acquire a spectrum image of the test part; a control and image processing unit is adopted to acquire evolution situations of micro structures of the test part in the ablation process, ablation liquid droplet generation flowing and fusion situations, and real-time precise monitoring on ablation product components and distribution, whole-field temperature distribution on the surface of an object is synchronously acquired, and influence of thermal radiation to spectrum information is eliminated. By adopting the technique, analysis on the relationships among ablation micro structures, surface liquid droplets, ablation temperatures and ablation products is achieved.

The invention discloses an expressway foggy weather visibility detection method based on dark channel prior and deep learning. The method comprises the following steps: 1, acquiring a video image acquired by an expressway camera, and building a background model; 2, acquiring an initial transmittance graph: 21, building a six-layer convolutional neural network, and performing training by using a large quantity of samples to obtain a network model; 22, loading a convolutional neural network model, and initializing the network by using the length and width of an original picture; 23, transmitting an original foggy weather image into the network for computing to obtain a corresponding transmittance graph; 3, optimizing the transmittance graph; 4, solving an average atmospheric extinction coefficient: 41, specifying at least two lane white lines in an original image to select road key points; 42, acquiring transmittance at two ends of each lane line, and computing corresponding atmospheric extinction coefficients respectively; 43, solving an average atmospheric extinction coefficient; and 5, estimating the visibility.

The invention relates to a water regimen monitoring system which comprises a measuring pipe, a video collecting module and an image processing module, wherein a lower port of the measuring pipe enters a water surface; a camera is arranged right above an upper port of the measuring pipe and is used for shooting water surface images in the measuring pipe; the video collecting module is connected with the camera and is used for converting collected images to digital images; the image processing module is connected with the video collecting module and stores first sample data; gray values of various water qualities are recorded in the first sample data; the image processing module is used for performing gray processing on the digital images so as to obtain the gray values of the water surface images; and the gray values are compared with the first sample data to obtain water quality conditions. According to the water regimen monitoring system, the corresponding conditions of the water quality can be obtained by the water surface images. The water regimen monitoring system is simple, can be used for carrying out convenient and fast water quality measurement or prejudgment conveniently in the open air or without water quality test conditions, and does not need complex steps.

A river water quality monitoring method based on a high-resolution remote sensing satellite comprises the following steps: the high-resolution remote sensing satellite acquires a high-resolution remote sensing image a of a river to be monitored from a ground station, and transfers the digital topographic map of the region of the river to be monitored; a preprocessing module preprocesses the high-resolution remote sensing image a to obtain n high-resolution remote sensing images c of the image capable of displaying the complete river to be monitored at different wavebands; a controller performsregression analysis on the actual mass concentration of each reference position point and the reflectivity of each reference position on the high-resolution remote sensing images c to obtain a corresponding regression equation, and establishes a relationship function between the actual mass concentration of every reference position point and the reflectivity at every reference position on every high-resolution remote sensing image c based on the regression equation with a smallest dispersion degree; and the controller calculates the reflectivity of a monitoring point on each of the n high-resolution remote sensing images c, and calculates the water quality parameter mass concentration at the monitoring point according to the relationship function.

The present invention relates to a device and method for quantitatively measuring an analyte using a camera. More particularly, to capture the identification code required for obtaining an accurate analysis result for the analyte to be analyzed, to capture the result of the reaction of the analyte using a camera without additional equipment, and to read the identification code and the result of the reaction of the analyte, the device of the present invention comprises: a camera for capturing a camera recognition area of an analyte kit, which contains an analyte reaction result obtained by the reaction of the analyte and an identification code for the analyte kit; an image-processing unit for separating the analyte reaction result image and the identification code image from images of the camera recognition area of the analyte kit captured by the camera; a reading unit for reading the analyte reaction result image and the identification code image; and a control unit for enabling the read result of the analyte reaction result image to be processed using the read result of the identification code image.

A method is provided for detecting a roadway of a vehicle including at least the following steps: generating a light signal and emitting the light signal onto a lit area of the roadway, receiving retroreflected radiation of the lit area and generating an image signal, evaluating the image signal. For this purpose, it is provided that the light signal having light structures is generated, the image signal is evaluated as a two-dimensional light pattern, a detection of pattern characteristics corresponding to the light structures being carried out in the light pattern during the evaluation of the image signals, a signal strength of the image pattern being evaluated in a space-resolved manner and a reflecting behavior of the lit area being inferred therefrom, and a roadway surface being inferred from the reflecting behavior.

The invention discloses a water quality and health monitoring method based on a remote sensing image. The method comprises the steps of training a BP neural network model by adopting historical monitoring data of a target detection area and the remote sensing image to obtain a water quality parameter inversion model of the target detection area; then applying the water quality parameter inversionmodel to detection of water quality parameters to achieve accurate monitoring of water quality and health. The problem that water quality and health monitoring in the prior art mainly adopts typical section monitoring and aquatic ecological investigation and cannot detect the change of the water quality and health condition of the target detection area for a long time in a full space angle is solved. The invention further provides a water quality and health monitoring device based on the remote sensing image and a storage medium.