Olympus Corporation

Kanagawa University

Hideya Aragaki

Takahiro Saito

Takashi Komatsu

Yuki Ishii

An image processing device includes a processor configured to: set a plurality of first seed positions, pixel values of which indicate three-dimensional peaks, in a stack image of a cell; give an identification number to each first seed position; set a standard size of a cell in a predetermined direction of the stack image; set, referring to each first seed position, second seed positions within a range of the standard size centering on each first seed position, the second seed positions being positions shifted in the predetermined direction with respect to the first seed positions; give the same identification number as the identification number of the first seed position of a reference source to each second seed position; and form two-dimensional cell regions in all the first seed positions and thereafter form two-dimensional cell regions in the second seed positions.

Image processing device, cell recognition apparatus, cell recognition method, and cell recognition program

Provided is an image processing device including: a processor comprising hardware, the processor configured to: smooth a brightness value of a cell image including a plurality of cell clusters each including a plurality of cells so as to generate a smoothed image in which a gap existing between the cells in each of the cell clusters is filled in; binarize the smoothed image into a background region and a non-background region of each cell cluster; and segment the non-background region of the binarized smoothed image into a region for each of the cell clusters.

Image processing device, cell-cluster recognition apparatus, cell-cluster recognition method, and cell-cluster recognition program for binarizing and segmenting smoothed cell image in which gap between cells in each cell cluster is filled in

Provided is an image processing device including: a memory; and a processor comprising hardware, the processor configured to: calculate a feature value; detect, as peak positions, pixel positions the feature value of which are greater than a prescribed feature value threshold value; record the detected peak positions; form, one at a time for the detected peak positions, a cell region; identify a center position of the formed cell region; determine, by using at least one of the peak position, a morphology of the cell region, and the center position of the cell region, a proximity state between the currently formed cell region and a previously formed cell region; and correct, when it is determined that the proximity state is satisfied, at least one of the currently formed cell region and the previously formed cell region.

Image processing device, cell recognition device, cell recognition method, and cell recognition program

An cell contour formation apparatus includes a cell image acquiring unit, a subband image creating unit, a features calculating unit, a correcting unit, a contour forming unit. The subband image creating unit creates subband images including a low frequency image and a high frequency image. The features calculating unit calculates a local texture features from the high frequency image. The correcting unit corrects the high frequency image on the basis of the pixel value of the low frequency image and the texture features. The contour forming unit forms contours of cells included in the cell group on the basis of the corrected high frequency image.

Cell contour formation apparatus and method of the same, and non-transitory computer readable storage medium storing a cell contour formation program

A cell tracking device includes first and second image acquisition units, first and second tracking units and an interpolation unit. The first image acquisition unit picks up images of a cell under a short-time exposure condition at points in time to capture short-time exposure images. The second image acquisition unit picks up images of the cell under a long-time exposure condition to capture long-time exposure images, each image of the cell under the long-time exposure condition being picked up within each interval between the points in time. The first tracking unit tracks the cell based upon the short-time exposure images. The second tracking unit tracks the cell based upon the long-time exposure images. The interpolation unit interpolates a tracking result obtained by the second tracking unit with a tracking result obtained by the first tracking unit.

Cell tracking device and method, and storage medium non-transitory storing computer-readable cell tracking programs

A cell division tracking apparatus includes a control unit, a search range setting unit, a daughter cell judgment unit. The control unit tracks division processes of the cells based on a cell image group composed of the cell images. The search range setting unit sets a search range to search for daughter cell regions corresponding to daughter cells resulting from a division of a mother cell based on the mother cell region detected by the mother cell detection unit. The daughter cell judgment unit judges whether the cell regions are the daughter cell regions based on a region in which regions of the cell overlap the search range regarding the cell images collected at and after a detection of the mother cell region.

Cell division tracking apparatus and method of the same, and non-transitory computer readable storage medium to store a cell division tracking program

A necrotic cell region detection apparatus includes an image acquiring unit, a segmentation unit, a band separate unit, a feature value calculating unit, a luminance calculating unit, and a judging unit. The image acquiring unit acquires a cell image. The segmentation unit divides the cell image into multiple regions so that a local imaging properties. The band separate unit separates a low-band image and a high-band image. The judging unit forms a feature space composed of the texture feature value calculated by the feature value calculating unit and the luminance average value calculated by the luminance calculating unit, and judges a region formed by necrotic cell in the feature space.

Necrotic cell region detection apparatus and method of the same, and non-transitory computer readable storage medium to store a necrotic cell region detection program

An image processing device separates an original image signal into a plurality of components including a first component serving as a skeleton component and a second component obtained after the first component is separated from the original image signal, obtains a signal level of the first component or the original image signal, sets a tone conversion coefficient to be applied during tone conversion based on the signal level of the first component or the original image signal, performs tone conversion processing on the first component using the tone conversion coefficient, obtains the signal level of the first component, sets a noise reduction processing parameter on the basis of the signal level of the first component, and reduces a noise of the second component using the noise reduction processing parameter and the tone conversion coefficient.

Image processing device, image processing method, and computer-readable storage medium storing image processing program

Provided is a component extraction/correction device, comprising: a decomposition unit that decomposes an original image signal into a plurality of frequency bands to generate a plurality of band signals; an extraction unit that extracts a skeleton component from among a plurality of components constituting the band signal; a first correction unit that corrects the extracted skeleton component by using the band signal and one component other than the skeleton component among the plurality of components; and a second correction unit that corrects the one component by using the corrected skeleton component and the band signal.

Component extraction/correction device, component extraction/correction method, storage medium and electronic equipment

A noise removal device that removes noise from an image signal includes: a separation unit that separates the image signal into at least two subband signals; a parameter setting unit that sets a plurality of coring ranges in relation to at least one of the subband signals; and a coring unit that performs coring processing on the basis of the plurality of coring ranges.

Noise removal device, noise removal method, and computer readable recording medium

An image processing apparatus that corrects an image signal constituted by a plurality of color signals, includes a separation unit that separates the image signal into two or more subband signals; a selection unit that selects a correction processing subject color signal from the plurality of color signals; an S/N estimation unit that estimates an S/N ratio in relation to the subband signal of the color signal selected by the selection unit; a coefficient setting unit that sets a coefficient on the basis of the S/N ratio; and a correction unit that performs correction processing on the subband signal of the selected color signal by adding the subband signal of the correction processing subject color signal to the subband signal of another color signal not subject to the correction processing on the basis of the coefficient.

Image processing apparatus, image processing method, and computer-readable storage medium storing image processing program

An image acquisition apparatus includes a plurality of pupil-division lenses configured to pupil-divide a light flux of the object image light passed through an optical imaging system in an area on a surface of an image sensor, a coordinate recording unit configured to record coordinate information to specify the area on the surface of the image sensor, a correction unit configured to execute, based on an optical characteristic of the plurality of pupil-division lenses corresponding to the area and characteristics of the image sensor, a process of correcting the image signal obtained by the image acquisition operation of the image sensor, according to the recorded coordinate information, and a focus detection unit configured to detect a focal point based on selected one of the image signal before the correction process and the image signal after the correction process.

Image acquisition apparatus which has a focus detection function and program recording device

The object is to provide a uniform impression of noise for an entire image signal by performing grayscale conversion and noise reduction in a balanced manner. The signal processing unit performs first signal conversion on an image signal from an image-acquisition device and transfers the processed image signal to a correction-coefficient calculation unit. The correction-coefficient calculation unit calculates, on the basis of the image signal from the signal processing unit, an area correction coefficient for each area used for grayscale conversion of each area. A noise reducing unit uses the area correction coefficients calculated by the correction-coefficient calculation unit to perform noise reduction on the image signal from the image-acquisition device and transfers the processed signal to the signal processing unit. The signal processing unit performs grayscale conversion on the areas of the noise-reduced image signal and transfers the signal to the compressing unit using the area correction coefficients.

Image-acquisition apparatus

An image processing device that processes an image signal in which at least one of a predetermined plural number of color signals intended to constitute the image signal in each pixel is missing in accordance with a pixel position comprises: a component separation unit that separates the color signal into a plurality of components including a first component U, which is a skeleton component, and a second component V obtained from the residual difference between the color signal and the first component; a first interpolation unit that interpolates the first component U such that the first component U in a pixel position in which the color signal is missing is interpolated; and a second interpolation unit that interpolates the second component V such that the second component V in a pixel position in which the color signal is missing is interpolated.

Image processing device and computer-readable storage medium

An image-acquisition apparatus is provided, including a correction-coefficient calculating unitfor obtaining an image signal subjected to prescribed image processing and creating, in each region, a first correction-coefficient group formed of a plurality of correction coefficients corresponding to a plurality of pixels; a correction-coefficient-group adjusting unitfor creating a second correction-coefficient group by adjusting the first correction-coefficient group using the image signal from an image-acquisition device or a feature of the image signal subjected to the image processing; and a grayscale converterfor performing grayscale conversion processing in each region using the second correction-coefficient group.

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Hino, Japan

Hideya Aragaki