150 results about "Digital image analysis" patented technology

Disclosed are methods and apparatus for automatic optoelectronic detection and inspection of objects, based on capturing digital images of a two-dimensional field of view in which an object to be detected or inspected may be located, analyzing the images, and making and reporting decisions on the status of the object. Decisions are based on evidence obtained from a plurality of images for which the object is located in the field of view, generally corresponding to a plurality of viewing perspectives. Evidence that an object is located in the field of view is used for detection, and evidence that the object satisfies appropriate inspection criteria is used for inspection. Methods and apparatus are disclosed for capturing and analyzing images at high speed so that multiple viewing perspectives can be obtained for objects in continuous motion.

The present disclosure includes systems and computer-implemented methods for redesigning rooms in a house using digital image analysis. The analysis includes defining room parameters based on the architectural shape of the room as determined from an analysis of the walls, ceiling, windows, and doors, performing a room size calibration and defining an empty 3D room. Using the analyzed digital image, redesign can progress with selecting types of inner surfaces of the room from a pre-defined collection of architectural shapes, selecting types of furniture in the room, and selecting types of lighting. Then, a 3D model of the redesigned room is generated wherein the architectural shape is in the form of 2D and wherein the 2D image has an associated 3D image. At least one image of the redesigned 3D room may be generated and stored, and may be transmitted to a receiver wherein the corresponding showroom picture is displayed.

A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence detection subsystem; a multi-mode area-type image formation and detection subsystem having narrow-area and wide-area image-capture modes of operation; a multi-mode LED-based illumination subsystem having independently controllable LED illumination arrays; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The hand-supportable imaging-based bar code reader employs a method of intelligently illuminating objects during image capture, wherein the LED illumination arrays are independently controlled during particular moments of object illumination to generate digital images of objects which, through digital image analysis, are determined to be substantially free of noise (i.e. intense spatial intensity variations) caused by specular-type reflection of illumination off objects during illumination and imaging operations.

A method and system method and system automated digital image analysis of prostrate neoplasms using morphologic patterns. The method and system provide automated screening of prostate needle biopsy specimens in a digital image and automated diagnosis of prostatectomy specimens.

Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Systems and methods are provided for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.

The embodiments of the present invention include a method and system for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (UV) image of a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

A 3D camera comprises first and second laterally displaced optical imaging systems each comprising one or more lenses. The optical imaging systems also each comprise one or more actuators arranged to move one or more lenses of the respective optical imaging system, and a digital image analyser configured to evaluate the respective field of view of first and second images of a stereoscopic image pair obtained respectively from the first and second optical imaging systems and to generate a disparity value based on a disparity between the respective fields of view. The 3D camera is arranged in operation to adjust the field of view of one or more images generated by the first and second optical imaging systems responsive to the disparity value so as to reduce the disparity between the respective fields of view of stereoscopic image pairs obtained from the first and second optical imaging systems.

The invention discloses a measuring method of little opening displacement of microcrack, belonging to the technical fields of photo mechanics, structural member deformation, displacement measurement and the like. The invention adopts a measuring system mainly consisting of a laser device, a loading device, a test specimen with a microcrack, a light intensity receiving screen and a pattern collecting system. During measurement, laser sends out light with a wave length of lambda; a Fraunhofer diffraction fringe pattern is formed on the receiving screen by the microcrack; an initial light intensity pattern of the microcrack is obtained by the pattern collecting system; the loading device is used for slowly loading the test specimen to open the microcrack; the pattern collecting system is used for recording multiple slit diffraction light intensity patterns of the microcrack on the receiving screen under different loads; digital pattern analysis and relative operation are carried out according to a light intensity pattern so as to finally obtain the little opening displacement amount of the microcrack under different loads. The method has the characteristics of convenient use, high measurement precision and the like. The deformation amount measurement of the microcrack can reach 100 mu epsilon magnitude, and the displacement measurement sensitivity can reach wavelength magnitude.

Systems and methods of determining nitrogen levels from a digital image and in-season nitrogen measurement and fertilization of non-leguminous crops from digital image analysis are disclosed herein. In particular, a method of determining leaf nitrogen concentration and yield from a digital photograph of a fully developed leaf (collared leaf) of a crop of non-legumes, such as corn, wheat, rice, cotton, potatoes sugarcane, turfgrass or forage grass species. The digital image is processed to determine a dark green color index (“DGCI”), which is closely related to leaf nitrogen concentration and yield. Standardized color disks having known DGCI values are included in the digital photograph and serve as an comparative standard. The comparative standard allows correction of DGCI of samples when using different cameras and/or when lighting conditions change. The DGCI values can then be used to determine the amount of nitrogen fertilizer that should be applied to recover crop yield potential.

Disclosed are methods and apparatus for automatic optoelectronic detection and inspection of objects, based on capturing digital images of a two-dimensional field of view in which an object to be detected or inspected may be located, analyzing the images, and making and reporting decisions on the status of the object. Decisions are based on evidence obtained from a plurality of images for which the object is located in the field of view, generally corresponding to a plurality of viewing perspectives. Evidence that an object is located in the field of view is used for detection, and evidence that the object satisfies appropriate inspection criteria is used for inspection. Methods and apparatus are disclosed for capturing and analyzing images at high speed so that multiple viewing perspectives can be obtained for objects in continuous motion.

This disclosure concerns methods for evaluating inflammatory cells and modulators of the inflammatory response in tumor tissue and other relevant tissue types. The methods entail: obtaining a tissue sample and processing said tissue sample to produce histologic slides of tissue sections; staining of the tissue sections to identify inflammatory cells and modulators of the inflammatory response; digitizing slides to produce an image of the stained tissue sections; digitally stratifying the tissue sample into tumor and other relevant tissue compartments; and using digital image analysis to quantify cell-based and cell population-based features. The quantification of cell-based and cell population-based features within a tissue compartment of interest is used to develop a summary score of the immune system-tissue compartment of interest interaction. Patient stratification and selection as candidates for a therapeutic approach is ultimately based on the summary score value.

The invention belongs to the technical field of gesture recognition, and relates to a gesture recognition method. The method comprises the following steps: acquiring a depth image sequence in real time via Kinect; acquiring the positions of a palm center and an elbow center in real time via the Kinect, and extracting a hand contour according to the depth information of each frame of image; calculating a fingertip position and a finger root position according to the palm center position, the elbow center position and the hand contour, and extracting features; matching the features extracted in step 3 with gesture features in a template library, entering a classifier, selecting the most proximate gestures as recognized gestures according to the classification standard of the classifier, and saving the gesture recognized in each frame into a queue Q; analyzing the recognition results of the frame and the front four frames in the queue Q, and selecting the gestures of a largest quantity as the final recognition result. The method can quickly and accurately recognize the gestures of an operator by acquiring depth information using Kinect and in combination with a digital image analysis technology.

The invention discloses an on-site solid footprint digitalization integrated processing system which comprises an optical balopticon, a CCD camera, a stepping motor, a bracket and a computer; the optical balopticon, the CCD camera and the stepping motor are arranged on the bracket; the optical balopticon is used for irradiating the solid footprint and carrying out the optical coding; the CCD camera is used for collecting an optical coding image; the stepping motor is used for driving the stepping of the optical balopticon and the CCD camera; the computer carries out the digital image analysis to the optical coding image collected by the CCD camera to obtain solid footprint three dimensional point cloud data. The on-site solid footprint digitalization integrated processing system of the invention further comprises a solid footprint three dimensional comparison device and a solid footprint carving and reducing device which can overcome the disadvantages of the traditional gypsum solid footprint, realize the lossless extraction of the solid footprint and provide a more scientific and convenient appraising tool for appraisers to carve and reduce the solid footprint.

The invention provides a laser-cladding molten pool defocusing quantity measuring device. The laser-cladding molten pool defocusing quantity measuring device comprises a shell, a camera lens, a CMOS image sensor, a controller and a communication module, wherein the CMOS image sensor, the controller and the communication module are connected in sequence. The CMOS image sensor, the controller and the communication module are arranged in the shell. The camera lens is fixed to the outer portion of the shell and is connected with the CMOS image sensor. The camera lens is used for collecting a molten pool real image and projecting the molten pool real image onto the surface of the CMOS image sensor. The CMOS image sensor is used for converting the received optical real image into a digital image. The controller is used for analyzing the position of a molten pool according to the digital image converted by the CMOS image sensor and converting the position of the molten pool into defocusing quantity information. The communication module is used for transmitting the defocusing quantity information of the molten pool outwards. The laser-cladding molten pool defocusing quantity measuring device can measure the defocusing quantity of the molten pool on line in real time and directly output defocusing quantity data measured finally through the communication module.

The invention discloses an intelligent operating system and method for a train examination robot of a railway vehicle, and belongs to the field of technical inspection of railway freight trains. The intelligent operating system for the train examination robot of the railway vehicle comprises a train examination robot system, a train examination operation, monitoring and management platform and a train examination wireless network platform; a wheel type robot and an air-control big gate are controlled to combine with an automatic control technology, a laser detection technology, an inactive radio frequency transmission technology, a position self-sensing technology, a machine visual technology and a digital image analysis technology to acquire holographic data of a to-be-detected vehicle; a mode identification technology is utilized to perform treatment and analysis as well as decision-making, so that brake test automation, part quality state diagnosis informatization, fault treatment monitoring and reexamination traceability after train maintenance in train examination operation of the railway vehicle are realized. The intelligent operating system realizes replacing manual examination by robot examination, can be suitable for different environments of train examination application places across the country, can comprehensively improve quality and efficiency of train examination operation, and has relatively great social benefits and economic benefits.

Systems and methods are provided for analyzing lip conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of the lips of a subject, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying lip-pixels in the white-light and UV images, and obtaining results associated with at least one lip condition using information in the lip pixels in the first white light and UV images.