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Image processing method for time lapse image, image processing program, and image processing device

一种图像处理装置、图像处理的技术，应用在图像数据处理、图像数据处理、图像增强等方向，达到提高精度的效果

Active Publication Date: 2010-10-20
NIKON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, there is a problem that, for example, when an object other than the observation object such as dust or air bubbles flows in the field of view, the assumption of random motion is broken, resulting in a problem of position correction due to the displacement of the object other than the observation object. Happening

Method used

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  • Image processing method for time lapse image, image processing program, and image processing device
  • Image processing method for time lapse image, image processing program, and image processing device
  • Image processing method for time lapse image, image processing program, and image processing device

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no. 1 Embodiment approach

[0050] The image processing device 101 of the first embodiment is configured such that the CPU 61 executes the image processing program GP1 of the first embodiment. This image processing device 101 uses a correlation function weighted according to the feature quantity based on the feature quantity based on the object shape as the image feature quantity of the object included in the first image and the second image to perform a positional deviation calculation. Position fixes.

[0051] In the image processing program GP1, first, in step S110, the first image at time t and the second image at time t+1 recorded in RAM 63 are read and acquired, and in step S120, each area is partitioned . Various known methods can be used for partitioning, for example, binarization based on luminance values, binarization based on dispersion values, dynamic contour extraction methods such as Snakes and LevelSet methods, and the like.

[0052] Then, in step S130 , an analysis is performed based on...

no. 2 Embodiment approach

[0063] Next, the image processing device 102 of the second embodiment will be described. The image processing device 102 of the present embodiment uses, as the image feature value of the object, the feature value of the texture structure of the object within the field of view as a reference. That is, the device configuration of the image control device as a hardware resource is the same as that of the image processing device 101 of the first embodiment, but the image feature value to be judged during image processing is different from that of the image processing device 101 of the first embodiment. . Figure 7 A flow chart of the image processing program GP2 constituting the image processing device 102 read and executed by the CPU 61 is shown. Next, the image processing method of the present embodiment will be described using the processing flow of the image processing program GP2.

[0064] In the image processing program GP2, first, in step S210, the first image at time t an...

no. 3 Embodiment approach

[0073] Next, the image processing device 103 of the third embodiment will be described. The image processing device 103, such as Figure 5 As shown by the dotted line in the figure, on the basis of the image processing devices 101 and 102 in the above-mentioned embodiments, a storage unit 140 for storing various feature values ​​for image feature values, and a feature value storage unit 140 for selecting The mode selection switch 150 for a given feature quantity type is configured so that the position correction value calculation unit 120 can calculate the position correction value using a correlation function based on the weighting of the feature quantity selected by the mode selection switch 150 .

[0074] Figure 8 A flowchart is shown of the image processing program GP3 which is read and executed by the CPU 61 and constitutes the image processing device 103 . Next, the image processing method of the present embodiment will be described based on the image processing progra...

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Abstract

An image processing method for a time lapse image comprises: a step (S110) of acquiring a first image obtained by photographing an object located within a visual field using an imaging device and a second image obtained by photographing an object located within the visual field using the imaging device after a predetermined time has elapsed; a step (S180) of calculating a position correction value for the positional shift between the first image and the second image, using a correlation function weighted according to an image feature amount of each of the objects included in the first image and the second image; and a step (S190) of performing, based on the calculated position correction value, a position correction between the first image and the second image. The time lapse image is generated using the first image and the second image on which the position correction is performed.

Description

technical field [0001] The present invention relates to an image processing that uses an imaging device to intermittently photograph an observation object at predetermined time intervals, acquires a plurality of images, arranges the acquired images in time series, and generates a time-lapse image (Time Lapse). technology. Background technique [0002] Examples of devices that observe changes in observation objects using time-lapse images as described above include a culture microscope that observes state changes while culturing biological cells, and an observation device that observes road or sea congestion. Such a device, such as a culture microscope, needs to use hardware or software to ensure the spatial position of each cell in the field of view and generate time-lapse images in order to observe and correctly evaluate the movement state of each cell and between cells. [0003] Here, in order to use mechanical components to ensure the spatial position of each cell in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G02B21/00
CPCG06T2207/30024G06T2207/10016C12M41/46C12M41/14H04N9/8233G06T7/0028G06T7/0026G06T7/32G06T7/33
Inventor 伊藤启三村正文
Owner NIKON CORP
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