Mitutoyo Corporation

Takuho Maeda

Akira Takada

Takashi Hanamura

Gyokubu Cho

Hiroyuki Yoshida

Koichi Komatsu

Makoto Kaieda

Isao Tokuhara

Hidemitsu Asano

Takeshi Sawa

An image measuring method performed with an image measuring device measuring a dimension of a measured object from an image of the measured object captured by an image capturer. The method executes a standard reference object measurement measuring a dimension of the standard reference object with the image measuring device; a standard reference dimension input inputting a dimension of the standard reference object specified by a device other than the image measuring device; a preset value calculation calculating a preset value from the dimension of the measured standard reference object and from a dimension of the standard reference object measured by a predetermined measurement tool; a measurement measuring a dimension of a measured object other than the standard reference object using the image measuring device; and a correction correcting the dimension of the measured object other than the standard reference object measured by the image measuring device.

Image measuring method and apparatus

A hardness tester includes a memory associating and storing a parts program having defined measurement conditions with respect to a sample, including a test position, and an image file acquired by capturing an image of the shape of the sample; an image acquirer acquiring image data of the sample to be measured; a pattern matcher performing a pattern matching process on the image data of the sample using the image file associated with the parts program; a determiner determining whether an image file exists which has a shape related to the image data of the sample; a retriever retrieving the parts program associated with the image file having a related shape; and a measurer measuring hardness of the sample based on the retrieved parts program.

Hardness test apparatus and hardness testing method

A distance in a scanning direction between a first set of edges which face each other and exhibit an opposite change between light and dark is measured by an image measuring machine, and a bias correction value is calculated based on a difference between a measured value and a true value. Using the bias correction value, detection point correction values, which are correction values in various directions of edge detection points detected by a scan of a measured object using the image measuring machine, are calculated; a correction amount used in correction of the edge detection points is specified based on the detection point correction value in each direction; and the edge detection points are corrected using the correction amount.

Edge detection bias correction value calculation method, edge detection bias correction method, and edge detection bias correcting program

An image measuring apparatus is configured such that an image of a measured object placed on a stage is captured by a camera, the captured image is displayed on, a captured image display screen, and determination results based on results of a measurement are displayed in an overview list separately from the captured image of the measured object. The image measuring apparatus includes an individual determination results display region displaying individual determination results for each measurement position; and an overall determination results display region displaying overall determination results for the measured object as a unit. The image measuring apparatus is configured to display the individual determination results and the overall determination results together.

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Kawasaki, Japan

Takuho Maeda