Real-time depth-of-field continuation method based on Laplace pyramid for microscope

A pyramid and microscope technology, applied in the field of image processing, can solve problems such as inability to solve the registration problem, and achieve the effect of strong robustness

Active Publication Date: 2019-11-29
杭州图谱光电科技有限公司
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  • Real-time depth-of-field continuation method based on Laplace pyramid for microscope
  • Real-time depth-of-field continuation method based on Laplace pyramid for microscope
  • Real-time depth-of-field continuation method based on Laplace pyramid for microscope

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[0056] The present invention will be further described below in conjunction with the drawings and specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. The operation methods without specific conditions in the following examples are usually in accordance with conventional conditions or in accordance with the conditions recommended by the manufacturer.

[0057] The real-time depth-of-field extension method based on the Laplacian pyramid used by the microscope of this embodiment performs a fusion process as follows: figure 1 As shown, at the beginning of the task, the system first reads a frame of real-time image as a reference image for the screening module and the registration module. Subsequent real-time images will first enter the screening module and be compared with reference images to distinguish whether pixel changes are caused by noise or focal plane changes...

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Abstract

The invention discloses a real-time depth-of-field continuation method based on a Laplace pyramid for a microscope, and a system according to the method comprises the components: a screening module which screens an input image according to a depth-of-field change criterion; a registration module which is used for balancing the brightness, estimating the deformation between the images and correcting; and a fusion module which is used for respectively establishing Laplace pyramids for the real-time input image and the previous fused image, fusing all layers of the pyramids by adopting a maximumcontrast principle, and finally restoring the fused pyramids into a final fused image. Aiming at the real-time processing requirement, the invention provides a set of perfect depth-of-field continuation scheme which can be used for processing a microscopic observation image in real time and obtaining a depth-of-field continuation image with large depth of field and high quality. By means of the method, a user only needs to manually rotate the fine focusing knob without concerning the rotating speed, and an ultra-depth-of-field microscopic image can be automatically obtained. The method has high robustness for depth-of-field change, and the final fusion quality is not easily influenced by the depth-of-field change degree or direction change.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to a Laplacian pyramid-based real-time depth extension method for microscopes. Background technique [0002] Depth-of-field continuation technology refers to the technology of fusing the same object under different focus layers into a large-depth-of-field image. This technology is of great significance in the field of microscopic digital imaging. [0003] At present, the main method of obtaining images with large depth of field is to control the Z-axis adjustment knob of the microscope through a stepper motor to image different layers of images to the image sensor. After positioning, they are saved one by one, and then all the images of different layers are followed The independent fusion of, finally get an image with large depth of field. [0004] For example, the patent specification with the publication number CN 108319010A discloses an ultra-depth-of-field image acquisition sys...

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IPC IPC(8): G06T5/50G06T5/00
CPCG06T5/003G06T5/50G06T2207/10028G06T2207/20016G06T2207/20221
Inventor 余飞鸿来腾飞周海洋
Owner 杭州图谱光电科技有限公司
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