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Positioning method of fixed point noise in color microscopic image sequence

A technology of microscopic image and positioning method, which is applied in the field of medical microscopic image processing, and can solve problems such as inability to effectively apply microscopic images

Inactive Publication Date: 2012-12-19
NINGBO UNIV
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Problems solved by technology

However, because this statistical method needs enough image frames in time (generally 200-300 frames of images are required), and in the processing of microscopic image sequences, it is necessary to quickly determine the noise position, that is, only a small number of images to be processed is provided, and it is necessary to Therefore, this statistical method based on the Gaussian model cannot be effectively applied to the location of fixed point noise in microscopic images

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  • Positioning method of fixed point noise in color microscopic image sequence
  • Positioning method of fixed point noise in color microscopic image sequence
  • Positioning method of fixed point noise in color microscopic image sequence

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Embodiment Construction

[0048] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0049] A positioning method for fixed point noise in a color microscopic image sequence proposed by the present invention, the flow chart is as follows figure 1 As shown, it mainly includes the following steps:

[0050] ① Order Image k Represents the kth frame image in the current color microscopic image sequence, let R k (x, y) represents the kth frame image Image of the current color microscopic image sequence k The value of the red component of the pixel whose coordinates are (x, y), let G k (x, y) represents the kth frame image Image of the current color microscopic image sequence k The value of the green component of the pixel whose coordinates are (x, y), let B k (x, y) represents the kth frame image Image of the current color microscopic image sequence k The value of the blue component of the pixel whose coordinates are (x, y), wh...

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Abstract

The invention discloses a positioning method of fixed point noise in a color microscopic image sequence, which comprises the steps of: combining a small amount of frame images for computing a mean value and a variance of red, green and blue components of pixel points in the same coordinate position of each frame image and judging whether a corresponding pixel point in a current frame image is fixed point noise according to the mean value and the variance. According to the method provided by the invention, the position of the fixed point noise in a color image can be accurately positioned by using fewer N frame images; and the method provided by the invention is different from a statistical method which needs long time and continuous multi-frame images as samples for judgment based on Gauss model. In addition, according to the method provided by the invention, users do not need to intervene and regulate; and the method has stronger robustness and is applicable to most of medical microscopic images.

Description

technical field [0001] The invention relates to a medical microscopic image processing technology, in particular to a positioning method for fixed point noise in a color microscopic image sequence. Background technique [0002] In medical microscopic images, sometimes the stage will be contaminated by stains, which cannot be eliminated on the spot due to conditional constraints, resulting in speckle noise due to the contamination of the stage; in addition, in the offline processing of medical microscopic images, sometimes the The above-mentioned speckle noise already exists in the medical microscopic image itself. Strictly speaking, this speckle is not noise, but a noise-like phenomenon. The biggest feature of this kind of speckle noise is that its position and shape are basically fixed, so it is also called fixed point noise. Due to the existence of fixed-point noise, it will bring great interference to video splicing and the reading of the complete video after splicing, ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/68G06T7/00
Inventor 蒋刚毅王一刚郁梅彭宗举邵枫
Owner NINGBO UNIV
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