Tohoku University

Panasonic Corporation

Yamatake Corporation

Other

Adv Antest Corporation

Azbil Corporation

Yamatake-honeywell Co., Ltd.

Vocsis Corporation

Takafumi Aoki

Hiroshi Nakajima

Koichi Ito

Koji Kobayashi

Atsushi Katsumata

Masayuki Kawamata

Tatsuo Higuchi

Satoshi Kondo

Takahiro Yamaguchi

Akio Nishimura

Tomohide Ishigami

Katsuhiko Degawa

Toru Takahashi

Takuma Shibahara

Kazuyuki Miyazawa

Eiko Kosuge

The present invention provides an image processing method capable of intuitively recognizing the three-dimensional shape of an organ by limiting the inspection range to the vicinity of the diagnostic target organ in image diagnosis. Given binary three-dimensional data representing an object in three-dimensional space, the image processing method partitions the object into individual segments with boundaries on narrow parts of the object's shape. A series of organs with no numerical differences in the boundaries on the image data can be segmented into individual organs at geometrically constricted locations because the connected organs can be identified by their shape. As a result, it is possible to examine a limited area specific to the target organ during image diagnosis, and to perform the examination while viewing the intuitive 3D shape of the organ during image interpretation.

Image processing method, image processing program, and image processing device for partitioning a 3D object at narrow parts of shape

A disparity calculating apparatus which calculates a disparity value from a stereo image including first and second images includes: an image dividing unit which divides the first image into segments; a reference point determining unit which sets reference points to the first image; a corresponding point detecting unit which (i) calculates, for each reference point, a corresponding point which is included in the second image and corresponds to the reference point, based on phase information of images obtained by performing Fourier transform on the first image and the second image, (ii) calculates a disparity value using the reference point and each corresponding point, and (iii) calculates a reliability of the disparity value; and a disparity assigning unit which assigns each of the segments which includes a corresponding one of the reference points the disparity value and the reliability calculated by the corresponding point detecting unit.

Disparity calculating apparatus and disparity calculating method

A plurality of images (I, J) of an object (M) when viewed from different viewpoints are taken in. One of the images is set as a standard image (I), and the other image is set as a reference image (J). One-dimensional pixel data strings with a predetermined width (W) are cut out from the standard image (I) and the reference image (J) along epipolar lines (EP, EP) calculated from a camera parameter (CPR) and the reference point (p). Calculating a phase-only correlation function from the cut one-dimensional pixel data strings will obtain a correlation peak position (Pa). A positional shift amount (d) from the correlation peak position (Pa) is obtained. A search is made for a corresponding point (q) corresponding to the reference point (p) based on this position shift amount (d).

Corresponding point searching method and three-dimensional position measuring method

Provided is a detection apparatus that detects a phase alignment error between transmission signals transmitted on different channels, comprising a correlation calculating section that calculates a cross-spectrum between the transmission signals based on a result of a measurement of the transmission signals transmitted in the channels; a phase difference calculating section that calculates a phase difference spectrum between the transmission signals based on the cross-spectrum calculated by the correlation calculating section; and a detecting section that detects a difference between transmission times of the transmission signals transmitted on the different channels and a phase offset between the transmission signals, based on the phase difference spectrum calculated by the phase difference calculating section.

Detecting apparatus, calculating apparatus, measurement apparatus, detecting method, calculating method, transmission system, program, and recording medium

An iris authentication apparatus includes an iris area extraction unit, registration pattern generating unit, collation pattern generating unit, and collation unit. The iris area extraction unit extracts iris areas from a sensed registration eyeball image and a sensed collation eyeball image. When the iris area extraction unit extracts an iris area from the registration eyeball image, the registration pattern generating unit generates a registration iris pattern image by performing polar coordinate transformation of an image in the extracted iris area. When the iris area extraction unit extracts an iris area from the collation eyeball image, the collation pattern generating unit generates a collation iris pattern image by performing polar coordinate transformation of an image in the extracted iris area. The collation unit collates the registration iris pattern image output from the registration pattern generating unit and the collation iris pattern image output from the collation pattern generating unit on the basis of a correlation therebetween.

Iris authentication apparatus

A system for comparing dental X-ray images includes a positional displacement calculator calculating a positional displacement between dental X-ray test and reference images by using phase-only correlation, a positional displacement corrector correcting the positional displacement, a base point extractor defining, as a base image, any one of the dental X-ray test and reference images, and defining, as a corresponding image, the other one of the two dental images, and extracting base points from the base image, a corresponding point extractor extracting corresponding points, which correspond to the base points, from the corresponding image, a correspondence calculator calculating correspondence between the base points and the corresponding points, a nonlinear distortion corrector correcting a nonlinear distortion between the base image and the corresponding image, based on the correspondence, and a similarity calculator finding, by using phase-only correlation, a similarity between the base image and the corresponding image.

System and method for comparing dental X-ray images

A projector includes: an image capturing unit that captures an image of a projection target image (an original image or a corrected image) projected by the projector on a projection surface; a shape model hold unit that holds shape models; a model selection unit that selects a projection surface shape model based on correspondence relationships between first feature points on the projection target image and second feature points on the captured image; a parameter calculation unit that calculates a model parameter which is to be used to approximate a shape of the projection surface shape model to the shape of the projection surface and indicates a positional relationship between the projection surface and the projector, for each projection target image based on the correspondence relationships; a correction unit that corrects another original image; and a projection unit that projects the corrected image as another projection target image.

Projector and projection method

Collation Fourier image data (FIG.,D) FB generated by performing the two-dimensional discrete Fourier transform (DFT) for the image data (FIG.,C) of a collation pattern is synthesized with registration Fourier image data (FIG.,B) generated by performing the two-dimensional DFT for the image data of a registration pattern. After amplitude suppression processing is performed for the resultant data, two-dimensional DFT is performed. A correlation peak is extracted from a correlation component area which appears in the synthesized Fourier image data (FIG.,E) for which the two-dimensional DFT has been performed. A predetermined area including this correlation peak is then masked (FIG.,F). The two-dimensional DFT is performed for the masked synthesized Fourier image data, and amplitude restoration processing is performed for the data. The resultant data is re-synthesized with the registration Fourier image data FA, and the two-dimensional IDFT is performed for the synthesized data. With this processing, image data containing a difference pattern like the one shown in FIG.,G or a moving pattern can be obtained.

Pattern extraction apparatus

In a pattern processing apparatus, a registration data preparation unit performs two-dimensional discrete Fourier transform of image data of a registration pattern to prepare registration Fourier image data. A collation data preparation unit performs two-dimensional discrete Fourier transform of image data of a collation pattern to prepare collation Fourier image data. A data synthesizing unit synthesizes the registration Fourier image data with the collation Fourier image data, both of which consist of phase and amplitude information, to output first synthesized Fourier image data. An image processing unit performs Fourier transform of the first synthesized Fourier image data to output second synthesized Fourier image data representing intensities of correlation components. A pattern collation unit collates the registration pattern with the collation pattern on the basis of the intensities of the correlation components of pixels in a correlation component area set in the second synthesized Fourier image data. An amplitude suppressing processing unit performs amplitude suppressing processing of one of the registration/collation Fourier image data and the first synthesized Fourier image data to extract only the phase information.

Growing community of inventors

Miyagi, Japan

Takafumi Aoki