A method for inspecting an object includes receiving or determining inspection image data, the inspection image data including an inspection image pixel array with at least one inspection image pixel in the inspection image pixel array having a pixel property associated therewith. The method includes receiving via a processor a user input associated with a continuous segment of inspection image pixels in the inspection image pixel array. The method includes determining a property of the object based on the pixel properties associated with the continuous segment of inspection image pixels in the inspection image pixel array.

A system and method are provided for sizing and fitting a head mounted wearable computing device for a user based on image data of the head of the user, including a known reference device having a known scale. The system and method may include capturing image data including a face of the user to be fitted for the head mounted wearable computing device. The known reference device having the known scale is compared to features detected in the image data to determine a scaling factor. The scaling factor is used to size, or assign measures to facial features detected in the image data. A three-dimensional model of the head of the user may be generated from the captured image data.

The present invention discloses a method and device for automatically drawing structural cracks and precisely measuring widths thereof. The method comprises a method for automatically drawing cracks and a method for calculating widths of these cracks based on a single-pixel skeleton and Zernike orthogonal moments, wherein the method for automatically drawing cracks is used to rapidly and precisely draw cracks in the surface of a structure, and the method for calculating widths of these cracks based on a single-pixel skeleton and Zernike orthogonal moments is used to calculate widths of macro-cracks and micro-cracks in an image in a real-time manner.

A video measurement system for measuring a test object comprising an imaging system comprising an imager having an imaging pupil, the imager arranged for viewing at least a portion of a silhouette of the test object by receiving light transmitted by the test object over a first angular extent; and an illumination system comprising (i) an illumination source; (ii) output having a second angular extent in object space that is larger than the first angular extent received by the imaging pupil; and (iii) a substrate arranged to diffuse light from the illumination source, the substrate having an axial centerline and a light obscuration element, wherein the light obscuration element is at least approximately coaxial to the axial centerline of the substrate, and wherein the pupils of the illumination and imaging systems are in at least approximately conjugate image planes.

An automated log scaling system and associated methods are disclosed. In the system and methods, one or more imagers may capture depictions of respective first ends and/or second ends of a plurality of logs, and use the captured depictions to scale the plurality of logs. A diameter value for each end of the log may be determined using the captured depictions. Relative location values for each captured end may be determined and used to form a length of each log. Information captured in the images is used to identify the type of tree or species of tree for each log. At least one of the diameter values may be multiplied by the determined log length, and the resulting product value may be compared to values in a log scaling chart to determine a value for the log. The value of multiple logs may be used to form a load of logs for distribution.

A volume measuring apparatus is disclosed and includes a body having a working part and a holding part extended downward from the bottom of the working part, a processor arranged in the body, a first camera, a second camera, and a barcode capturing unit arranged on a front end of the working part, a first button arranged on one side of the holding part, and a second button arranged on a top of the working part. The first button and the second button are different types of button. By respectively operating the first button and the second button, the processor is controlled to perform a measuring action of the volume of a target box or to perform a decoding action of a target barcode based on the image captured by at least one of the first camera, the second camera, and the barcode capturing unit.

A position measurement method is used by a device including an imaging unit and a position detector that detects a position of the imaging unit to measure, using a detection value at imaging of a measurement point, position coordinates of the measurement point. The method for correcting the detection value from the position detector includes obtaining, with the device, position coordinates of predetermined indices (22) arranged two-dimensionally on a calibration plate (20) as an actual measurement value, obtaining, as a correction value, a difference between the actual measurement value and a true value resulting from transformation of position coordinates of the indices (22) with respect to a reference point on the calibration plate (20), and correcting the detection value from the position detector (8, 9, 10). The imaging unit (3) images measurement points (P) on the measurement target (3) to measure position coordinates of the measurement points (P).

A method of measuring lens shape of a spectacle lens, the method comprising: a) providing a spectacle lens on a surface; b) providing an image recording apparatus comprising a camera and a display; c) positioning the image recording apparatus so that the camera is largely parallel to the surface; d) capturing an image of the spectacle lens, the captured image comprising a total surface area of a camera-facing side of the spectacle lens; e) indicating positions of features of the spectacle lens in the captured image; and f) measuring a shape of the spectacle lens and determining image coordinates of the spectacle lens features.

A process for sizing two-dimensional nanostructures includes providing the nanostructures to a liquid-liquid interface, providing probe particles to the liquid-liquid interface, obtaining an image of the nanostructures and the probe particles, and processing the image to ascertain a size property of the nanostructures.

A method, device, apparatus and a computer-readable storage medium for detecting a height of an obstacle are provided. The method can include: acquiring observation data of a plurality of reference obstacles from a frame; according to the observation data of each of the reference obstacles, fitting a function F: Z=F(ymax), wherein the observation data of a reference obstacle comprises a longitudinal coordinate of a bottom of the reference obstacle in the frame, and a distance between the reference obstacle and a camera capturing the frame; and determining a distance between the obstacle to be detected and the camera, according to the longitudinal coordinate of the bottom of the obstacle in the frame and the function F; and determining an evaluation value of the height of the obstacle to be detected according to the distance between the obstacle to be detected and the camera.