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Method for identifying endoscopic examination state based on icons and characters

A text recognition and status technology, applied in the computer field, can solve problems such as inoperability, and achieve the effect of improving use efficiency

Pending Publication Date: 2022-04-08
厦门影诺医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for diagnostic models, the timing of start and end needs human control, and during clinical examination, the instrument operator is often unable to operate another computer device

Method used

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  • Method for identifying endoscopic examination state based on icons and characters
  • Method for identifying endoscopic examination state based on icons and characters
  • Method for identifying endoscopic examination state based on icons and characters

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Embodiment Construction

[0026] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0027] see Figures 1 to 3 , is a method for identifying endoscopic examination status based on icons and characters as a preferred embodiment of the present invention, and includes the following steps in turn:

[0028] Step 101a, obtain the video frame at the current moment from the video stream, wherein the video stream contains valid signals, and the valid signals should be converted into RGB three-channel data through the protocol, such as under the Linux system, it should conform to the V4L2 protocol;

[0029] Step 102a, calculate and record the g...

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Abstract

The invention provides a method for recognizing an endoscopic examination state based on icons and characters. The method sequentially comprises the following steps: step 101a, acquiring a video frame at the current moment from a video stream; step 102a, carrying out gray value calculation and recording on a state region of a fixed position in the video frame; step 103a, comparing the gray value with the gray value of the same area of the previous frame; step 104a, carrying out OCR (Optical Character Recognition) on the gray value change region; step 105a, performing state matching according to an OCR result; according to the method, through five steps, an auxiliary tool which does not need intervention of an instrument operator and automatically selects an algorithm model to execute a specific algorithm task according to a current examination state is realized; in clinical work, the use efficiency of the artificial intelligence auxiliary diagnosis equipment can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to recognition of video elements, in particular to a method for recognizing characters and icons in endoscopic video streams. Background technique [0002] In an artificial intelligence endoscopy-assisted diagnosis system, it usually contains multiple auxiliary diagnosis models for different surgical procedures, different parts, different modes, and different tasks. These models can only be activated in specific modes to obtain correct results. For example, the gastric disease detection model should be activated under gastroscopy, the colonoscopy detection model should be activated under colonoscopy, and the depth of lesion infiltration should be judged under narrow-band light imaging mode. But for diagnostic models, the timing of start and end needs human control, and during clinical examination, the instrument operator is often unable to operate another computer device. [0003...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06V30/148G16H30/20G16H50/20G06T7/136G06K9/62A61B1/04A61B1/00G06V10/74G06V10/56
Inventor 邱祺
Owner 厦门影诺医疗科技有限公司