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Wireless capsule endoscope image detection system and detection method

A capsule endoscope and image detection technology, applied in the field of image processing, can solve the problems of low accuracy of endoscope images, and achieve the effect of improving the accuracy

Inactive Publication Date: 2020-06-23
联博智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides a wireless capsule endoscope image detection system and detection method, which can solve the problem of low accuracy of endoscope image detection in the existing detection system

Method used

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  • Wireless capsule endoscope image detection system and detection method
  • Wireless capsule endoscope image detection system and detection method

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Embodiment Construction

[0047] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0048]It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0049] It should ...

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Abstract

The invention is applicable to the technical field of image processing, and particularly relates to a wireless capsule endoscope image detection system and method. The system comprises an endoscopic image acquisition module used for acquiring a to-be-detected endoscopic image and inputting the endoscopic image to a convolution feature extraction module and an artificial feature extraction module;the convolution feature extraction module is used for carrying out feature extraction on the endoscope image to obtain convolution features of the endoscope image, and inputting the convolution features into the feature fusion module; the artificial feature extraction module is used for carrying out feature extraction on the endoscope image to obtain color features, texture features and morphological features of the endoscope image and inputting the color features, texture features and morphological features into the feature fusion module; the feature fusion module is used for carrying out fusion processing on the convolution features, the color features, the texture features and the morphological features to obtain fusion features, and inputting the fusion features into the detection module; and the detection module is used for obtaining a detection result of the endoscope image according to the fusion features.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to a wireless capsule endoscope image detection system and detection method. Background technique [0002] Wireless capsule endoscopy is widely used in gastrointestinal examinations due to its non-invasive, non-discomfort and free movement of the patient throughout the examination process. Wireless capsule endoscopes are generally composed of optical covers, lens fixtures, lenses, light-emitting diodes, imagers, batteries, transmitters, antennas and other electronic and optical devices, which can capture images in the patient's body and transmit the captured images to the outside A wireless receiver allows doctors to conduct examinations based on the received images. The wireless capsule endoscope will take more than 50,000 pictures during each detection process. If these pictures are read manually by the doctor, it will greatly increase the workload ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0012G06T2207/10068G06T2207/30004G06T2207/20081G06T2207/20084G06V10/44G06V10/462G06V10/56G06F18/24G06F18/253
Inventor 孟李艾俐邢小涵贾潇周越
Owner 联博智能科技有限公司
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