Disclosed herein are an apparatus and method for measuring a volume of an object. The object volume measuring apparatus includes an area measuring unit that includes a detection sensor, which is arranged at predetermined spacing in a single row along lengthwise edges and widthwise edges of a plate respectively, where an object is placed, measures a length and a width according to the numbers of detection sensors lengthwise and widthwise respectively in which the edges are detected, and calculates an area of the object according to the measured length and width, a height measuring unit that is located above the plate and comprises a distance measuring sensor for measuring a height of the object when the object is placed, and an object calculation unit for calculating a volume of the object based on the area and the height.

The distance image acquisition apparatus (10) includes a projection unit (12) which projects a first pattern of structured light distributed in a two-dimensional manner with respect to a subject within a distance measurement region, a light modulation unit (22) which spatially modulates the first pattern projected from the projection unit (12), an imaging unit (14) which is provided in parallel with and apart from the projection unit (12) by a baseline length, and captures an image including the first pattern reflected from the subject within the distance measurement region, a pattern extraction unit (20A) which extracts the first pattern spatially modulated by the light modulation unit (22) from the image captured by the imaging unit (14), and a distance image acquisition unit (20B) which acquires a distance image indicating a distance of the subject within the distance measurement region based on the first pattern.

A position detector for generating 3D position information of an object in a position determination space for the object. The position detector has a camera with a lens and an image sensor that defines an imaging area with one first light deflecting element arranged in the imaging area as the camera and the at least one light deflecting element are adapted to simultaneously produce on the image sensor at least two images of the position determination space, a first image being produced by light beams deflected at the first light deflecting element, the at least two images differ with respect to the viewing direction of the position determination space.

A position detector for generating 3D position information of an object in a position determination space for the object. The position detector has a camera with a lens and an image sensor that defines an imaging area with one first light deflecting element arranged in the imaging area as the camera and the at least one light deflecting element are adapted to simultaneously produce on the image sensor at least two images of the position determination space, a first image being produced by light beams deflected at the first light deflecting element, the at least two images differ with respect to the viewing direction of the position determination space.

Tissue sample cassettes for receiving tissue samples include an upper tray including compartments separated by dividers, a lower tray coupled to the upper tray and having a central recess, and an absorbent material located in the recess of the lower tray. Related systems and methods for automated gross processing of tissue samples are also disclosed.

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).

The present document discloses a method of determining thickness of a wet film, in particular of microfibrillated cellulose. The method comprises conveying said film (20) in a wet state on a conveyor (10) having a conveyor width, the wet film having a film width which is less than the conveyor width, providing a laser projection (1511) across a film edge, acquiring a series of images, each depicting an area of the conveyor, wherein the laser projection, a portion of the film and a portion of an exposed conveyor surface are visible, and using at least some of said images to determine at least one of a film thickness and a film thickness distribution across the film width. The document also discloses a method of forming a film, in particular a microfibrillated cellulose film, and a device for producing such film.

A surface estimation method includes a region-setting step and an estimation step. In the region-setting step, a reference region that is one of a three-dimensional region and a two-dimensional region is set. The three-dimensional region includes three or more points and is set in a three-dimensional space. The three-dimensional space includes three-dimensional coordinates of three or more points on a subject calculated on the basis of a two-dimensional image of the subject. The three-dimensional coordinates of the three or more points are included in three-dimensional image data. The two-dimensional region includes three or more points and is set in the two-dimensional image. In the estimation step, a reference surface that approximates a surface of the subject is estimated on the basis of three or more points of the three-dimensional image data corresponding to the three or more points included in the reference region.

A dimension measurement method includes: extracting a plurality of lines from a plurality of images generated by shooting a target area from a plurality of viewpoints, and generating a line segment model which is a three-dimensional model of the target area that is expressed using the plurality of lines; calculating a dimension of a particular part inside the target area, using the line segment model; and outputting the dimension calculated.

A dimension measurement method includes: extracting a plurality of lines from a plurality of images generated by shooting a target area from a plurality of viewpoints, and generating a line segment model which is a three-dimensional model of the target area that is expressed using the plurality of lines; calculating a dimension of a particular part inside the target area, using the line segment model; and outputting the dimension calculated.