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Cell picture splicing method based on gray value

A gray value, picture technology, applied in the field of medical image processing, can solve the problems of high cell edge similarity, matching errors, etc., to achieve rapid stitching, eliminate brightness differences, and simple algorithms.

Pending Publication Date: 2022-01-07
HANGZHOU ZHIWEI INFORMATION TECH CO LTD
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Problems solved by technology

However, this algorithm must ensure that the edges of the two images to be matched are consistent, and at the same time, due to the high similarity of cell edges, especially red blood cells, it is prone to matching errors.

Method used

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  • Cell picture splicing method based on gray value
  • Cell picture splicing method based on gray value
  • Cell picture splicing method based on gray value

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Embodiment 1

[0042] see figure 1 ,

[0043] An embodiment of the present invention provides a method for mosaicing cell images based on gray values, comprising the following steps:

[0044] (1) Take pictures of collected cells.

[0045] (2) Perform color conversion on the cell image, and convert the cell image from the RGB (red, green, blue) channel to the grayscale channel.

[0046] (3) Create a suitable template M, and remove noise from the cell image through Gaussian filtering or mean filtering. The specific formula for removing noise is:

[0047]

[0048] Among them, (x, y) is the pixel point of the current cell image; m is the template; src is the original cell image taken; a is the width of the template, b is the height of the template; g(x, y) is the cell image after processing The grayscale value at that point.

[0049] (4) Carry out dislocation subtraction on the two cell images to be spliced ​​to eliminate the brightness difference of the cell images to be spliced. After e...

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Abstract

The invention relates to a gray value-based cell picture splicing method, and the method is characterized in that the method comprises the following steps: (1) shooting and collecting cell pictures; (2) carrying out color conversion on the cell picture, and converting the cell picture from an RGB (Red, Green and Blue) channel to a gray channel; (3) removing noisy points from the cell picture through Gaussian filtering or mean filtering; (4) carrying out dislocation subtraction on the cell picture to eliminate a brightness difference; (5) randomly selecting a region A on the cell picture, moving a sliding block in the region A for multiple times, calculating the mean square error of the region A, and finding out a matching region A1 with the maximum brightness change through the mean square error; (6) calculating a matching error by applying a template matching method, and finding out a point P with a maximum or minimum difference value according to an error range. The method is simple in algorithm and wide in application range, the optimal matching point can be quickly and accurately found, and quick splicing of the cell pictures is realized.

Description

technical field [0001] The invention belongs to the field of medical image processing, and in particular relates to a method for mosaicing cell pictures based on gray values. Background technique [0002] Cell types are diverse, and the color difference of different types of cells after staining is also large, and different types of staining agents will also cause differences in cell color, and there will be impurities and dyeing solutions after staining that will cause cells to be polluted to varying degrees. Therefore, Cell image stitching has always been a challenging topic. In recent years, many effective solutions have been proposed by experts and technicians. David Lowe et al. proposed the scale-invariant feature transform (SIFT) algorithm in 1999 to match pictures. This algorithm can be applied to pictures of different sizes and rotations, but the large amount of calculation requires high hardware requirements. . In 2010, Zhi Lingling and others proposed a matching...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/90G06T7/136G06T7/11G06T5/00G06T3/40G06K9/62
CPCG06T7/90G06T7/11G06T7/136G06T3/4038G06T2200/32G06T2207/30024G06F18/22G06T5/70
Inventor 黄震孙明霞肖杰李强陆涛陆炬
Owner HANGZHOU ZHIWEI INFORMATION TECH CO LTD
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