15 results about "Image analysis" patented technology

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

A chip recognition system in which a chip is configured to at least partially have a specific color indicative of a value of the chip includes: a recording device that uses a camera and records a state of the chip as an image; an image analysis device that subjects the image so recorded to image analysis and recognizes at least the specific color and a reference color that is present in the image and differs from the specific color; and a recognition device at least including an artificial intelligence device that uses a result of the image analysis by the image analysis device and specifies the specific color of the chip, wherein the artificial intelligence device of the recognition device has been subjected to teaching using, as training data, a plurality of images of the chip and the reference color irradiated with different illumination intensities.

The invention provides a method for determining the physical form of a fibrous root plant. The method comprises the following steps: cleaning the root of a plant; sectioning the root of the plant after cleaning; separately sampling each section of the root and scanning the samples in a scanner to obtain root images; drying the samples and the rest of the root and separately weighing the samples and the rest of the root; and analyzing the root images by using a root image analysis software to obtain the root length, root volume and surface area of each sample of each section of the root. According to the invention, the method can reduce the time for scanning the root and provide complete data.

A bipolar-electrode electrochemiluminescence imaging electrolytic cell adopts the structure that a middle substrate is stuck to the upper surface of a lower substrate through glue; an upper substrate is stuck to the upper surface of the middle substrate through glue; the upper substrate, the middle substrate and the lower substrate all adopt organic glass sheets; an electrolytic cell c is processed in the center of the upper substrate; the middle substrate is arranged at the bottom of the electrolytic cell c; a channel b is processed in the centers of the upper and middle substrates; the lower substrate is arranged at the bottom of the channel b; a left liquid storage tank a is processed at the left end of the channel b in the upper and middle substrates, and a right liquid storage tank d is processed at the right end of the channel b in the upper and middle substrates; the channel b is communicated with the left liquid storage tank a and the right liquid storage tank d. The bipolar-electrode electrochemiluminescence imaging electrolytic cell has the advantages of reasonable design, simple structure and reusability, can adopt either an upright microscope or an inverted microscope, and can be popularized and applied in bipolar-electrode electrochemiluminescence imaging analysis.

The invention relates to the field of oil and gas exploration and development, and provides an analytical method for the particle size in a conglomerate core particle structure. The method combining conglomerate core macroscopic finely described image analysis with representative region microcosmic slice image analysis is adopted. Features of the particle size in the conglomerate core particle structure are accurately acquired, used for analysis of the physic-geographical environment and hydrodynamic conditions during conglomerate deposition, also used for research of original accumulation physical properties of conglomerate reservoirs and evolution laws of accumulation physical properties during a burial process, and then used for giving guidance to oil and gas exploration and development.

The invention belongs to the technical field of medical image processing, and particularly relates to a medical image processing and analysis method and system, a computer device and a storage medium. The medical image processing method comprises the following steps of training based on an initial labeled medical image sample to obtain a deep learning model; completing a forward propagation process, and converting a prediction result into an entropy graph based on the Shannon theorem; selecting a batch of candidate medical image samples with the highest sum of non-repeated information contents; labeling the selected candidate medical image samples and then combining with all labeled medical image samples, and training to obtain a new deep learning model; and repeating the above steps until all candidate medical image samples or models are traversed to reach a certain target performance in advance. The invention also provides a method for image analysis by using the above deep learning model. The method can reduce the labeling amount of the medical images, reduces the use cost of the deep learning model, and has a very high application value.

The invention discloses a welding spot appearance detection method based on machine vision, belongs to the technical field of welding spot appearance detection and discloses a welding spot appearancedetection method based on machine vision. The method comprises the following steps, firstly, a to-be-detected workpiece is fixed on a conveyor belt; a technician adjusts the positions of the workpieceand the camera; the high-definition camera is close to a workpiece welding spot; then the high-definition camera exposes the workpiece for multiple times to obtain a plurality of high-definition images at the welding spots and transmits the high-definition images to the computer; image processing, the image analysis module performs comparative analysis on the processed image and the template image; when the difference degree between the workpiece image and the template is relatively large; the image analysis module sends an analysis result to the alarm module, Meanwhile, the image analysis module sends the analysis result to a technician, so that welding spot images of a workpiece can be conveniently collected, and an accurate welding spot appearance analysis result can be obtained by comparing and analyzing the welding spot images of different sizes with corresponding templates.

The present disclosure relates a moving robot and a method for controlling thereof, and specifically, the moving robot and the method are configured to monitor a cleaning area by taking images while moving a plurality of areas based on a map of the cleaning area, and monitor in a plurality of areas or a dedicated specific area, and monitor overall areas by taking images while rotating at a monitoring location by dedicating the monitoring location in the area, and set a specific location in an area as a monitoring location, and cause taking of images to be performed at a specific angle by dedicating a monitoring direction in the monitoring location, and perform monitoring of a plurality of areas with minimal movement, and perform an effective monitoring because taking images in a blind spot may be performed by changing the monitoring location or adding a monitoring location based on information on an obstacle, and set a schedule to perform monitoring at a dedicated time, and detect invasion by recognizing the obstacle through analyzing of the images, and output an alert message or signal if the invasion is detected, and transmit a signal or message associated with the invasion detection, and thus a security function can be strengthened.

The embodiment of the invention discloses an image processing method and device and a storage medium. According to the scheme, the method comprises the steps of obtaining multiple medical scanning images, determining a focus area according to the multiple medical scanning images, extracting feature information for the focus area in each medical scanning image to obtain multiple pieces of feature information, performing at least one time of feature combination on the multiple pieces of feature information to generate a target feature set, and determining focus attribute information according to the target feature set. According to the scheme provided by the embodiment of the invention, the feature information of the lesion area can be extracted, and the lesion attribute information is determined through feature combination, so that the lesion is diagnosed, and the efficiency and accuracy of medical scanning image analysis are improved.

A method for identifying and quantifying information about molten phases, including slags, fluxes, metal and matte using a multivariate image analysis approach. Using this procedure, the properties of molten phases such as disruption of slag, the size of bare metal, partial solidification of slag, and temperature of slag can be accurately determined within a reasonable computation time. Moreover, this method can be implemented as an online measurement tool of molten phases.

Methods, systems, and computer-readable media are provided for customized presentation of items on electronic visual displays in retail stores. In one implementation, a method may comprise: obtaining a plurality of images of products in a retail store captured; analyzing a first image to determine whether products of a particular product type are available at a first point in time; analyzing a second image to determine whether products of the particular product type are available at a second point in time; based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, selecting at least one display parameter for a particular item; and using the selected at least one display parameter to display the particular item on an electronic visual display.

The invention discloses a laser microscope image analysis and recognition system. The laser microscope image analysis and recognition system includes a processing module, an acquisition module, a feature module, a database module, a training module, a storage module, a display module and a communication module; the output end of the acquisition module is connected with the input end of the featuremodule; the output end of the feature module is connected with the input end of the processing module, the processing module is respectively in bidirectional connection with the database module and the training module, and the output end of the processing module is respectively connected with the input end of the storage module, the input end of the display module and the input end of the communication module. By integrating the collection module, the feature module and the database module, the collection efficiency is high, the feature comparison accuracy is high, and in addition, the recognition, error rate reduction and database storage data improvement can be realized through the training module, so that the intelligent laser microscope image analysis and recognition are realized.

The invention provides a measurement method and device for planar image analysis based on structural illumination features, and the method comprises the following steps: projecting stripes to the surface of a to-be-measured object, and obtaining an EPI picture of the to-be-measured object; performing feature extraction on the EPI picture to obtain line segments with obvious linear features; identifying collinear line segments belonging to the same feature point from the line segments with obvious linear features; and determining the coordinates of the three-dimensional scene of the feature point according to the collinear line segment and the relationship among the polar plane position, the straight line slope and the intercept in the EPI image. According to the invention, stripe analysisis carried out on stripe structured light projected to the surface of an object, noise is removed by using filtering and mathematical analysis methods, and an EPI reconstruction result based on structured illumination is optimized, so that the accuracy of a three-dimensional measurement result is improved, and the precision, stability and efficiency are improved to a certain extent.