Wave shape extracting method for medical instrument video information extractor

A technology for video information and medical instruments, applied in the field of dynamic waveform extraction, can solve the problems of inability to directly query, obvious waveform distortion, long processing time, etc., and achieve the effects of being conducive to storage and query, small distortion, and convenient transmission

Active Publication Date: 2009-10-07
ENJOYOR COMPANY LIMITED
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

One is that due to the influence of analog signal noise, the final playback waveform will have large fluctuations, and the distortion of the waveform is more obvious; the other is that only a small part of the data of two consecutive frames is updated, and most of them are Repeat, in this way, when the network transmits and stores the database, there are too many repeated data, the data volume is too large, and a whole continuous waveform cannot be directly queried; the third is that each frame needs to process the entire waveform detection area, and the amount of data to be processed Larger size, longer processing time

Method used

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  • Wave shape extracting method for medical instrument video information extractor
  • Wave shape extracting method for medical instrument video information extractor
  • Wave shape extracting method for medical instrument video information extractor

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0032] Embodiment 1: A waveform extraction method of a medical instrument video information extractor

[0033] The concrete steps of this embodiment are as follows:

[0034] Step A, set the black band detection area in the waveform detection area, such as figure 1 In the area at B shown, the area close to the middle of the waveform detection area is the black belt detection area.

[0035] Step B, wait for the black belt to enter the black belt detection area for the first time, and start to detect the frame number NUM of a processing frame.

[0036] Step C.

[0037] 1) Waiting for the black belt to enter the black belt detection area for the Kth (K>1) time.

[0038] 2) Record the number of frames NUM1 required for the black belt to enter the black belt detection area for the K-1 and K times, that is, the number of frames actually required for the previous processing frame, as the predicted value NUM of the number of frames for the next processing frame .

[0039] 3) Accor...

Embodiment 2

[0062] Example 2: Save the coordinate system and waveform result data

[0063] Such as Figure 7 As shown, the X axis is established in the horizontal direction of the entire waveform detection area, the Y axis is established in the vertical direction, and the upper left corner is the origin.

[0064] The result of waveform information extraction is saved as an array, such as result[360]. The subscript of the array represents x, and the value represents y.

[0065] Such as Figure 7 , when X=20, start scanning down from y=0 along the line x=20, and the place where y=10 is scanned is a point on the waveform, then record result[20]=10. This is a relatively simple processing method, and the optimal method is to scan until y=60, and then average all the points on the waveform. Because the waveform may be relatively thick, the points y=11 and y=12 may also be on the waveform. Set to 0 if there are no points on the waveform.

[0066] Sweep from x=0 to x=359.

[0067] If x=0, ...

Embodiment 3

[0073] Example 3: An example of waveform processing with a length of 360

[0074] (1) Known waveform length Width=360

[0075] (2) Set the average number of frames N=4

[0076] (3) Extract the frame number NUM required when passing through the black belt detection area twice adjacently, as the frame number NUM of a processing frame. Assume that NUM=200. The whole process that the black belt passes through the black belt detection area twice adjacently is called a processing frame.

[0077] (4) Determine the number of frames actually used to process images within a processing frame

[0078] d_num=((int)((NUM-2) / N))*N

[0079] =((int)((200-2) / 4))*4

[0080] =((int)(198 / 4))*4

[0081] =((int)49.5)*4

[0082] =49*4

[0083] =196

[0084] In the whole operation process, the operation is performed with integer type, and the decimal part of the operation is discarded. The final number of frames d_num is an integer multiple of N.

[0085] (5) Calculate the length of the wav...

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Abstract

The invention discloses a waveform extraction method of a medical instrument video information extractor, which includes the following steps: setting a black belt detection area in the waveform detection area; two black belt detection areas as a processing frame, in one processing in one processingThe entire waveform is reasonably segmented in the frame, and the number of frames is averaged one by one; each processing frame is processed to record once.The advantage of the present invention is that it can well eliminate the impact of random noise, make the waveform distortion less, and record the waveform data with the minimum amount of data, which facilitates the network transmission, storage and query of the data.

Description

technical field [0001] The invention relates to a dynamic waveform extraction method in video recognition, in particular to a waveform extraction method of a medical instrument video information extractor. Background technique [0002] The basic method of dynamic waveform extraction is to extract the waveform information of each frame of image, record the Y value corresponding to each X value, and play back the recorded frame frame by frame during the final playback. The disadvantages of doing so are obvious. One is that due to the influence of analog signal noise, the final playback waveform will have large fluctuations, and the distortion of the waveform is more obvious; the other is that only a small part of the data of two consecutive frames is updated, and most of them are Repeat, in this way, when the network transmits and stores the database, there are too many repeated data, the data volume is too large, and a whole continuous waveform cannot be directly queried; th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/14
Inventor 王辉
Owner ENJOYOR COMPANY LIMITED
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