NBI gastroscope image processing method based on key point detection

An image processing and key point technology, applied in the field of image recognition, can solve the problems of low contrast of gastroscopic images, slow recognition of gastroscopic images, and low accuracy.

Inactive Publication Date: 2015-03-25
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

Most of the computer recognition systems for gastroscope images are based on the imaging analysis of gastroscope images. Generally, the contrast of gastroscope images is low, and the difficulty of analysis increases, resulting in slow recognition of gastroscope images and low accuracy.

Method used

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  • NBI gastroscope image processing method based on key point detection
  • NBI gastroscope image processing method based on key point detection
  • NBI gastroscope image processing method based on key point detection

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Embodiment Construction

[0042] NBI (Narrow Band Imaging) is an emerging endoscopic imaging technology. It uses filters to filter out the broadband spectrum in the red, blue, and green light waves emitted by the endoscope light source, leaving only the narrow band spectrum for use. For the diagnosis of various diseases of the digestive tract. The image data image of gastric endometrium acquired by NBI is called NBI gastroscope image.

[0043] Such as figure 1 Shown is a flow chart of the NBI gastroscope image processing method based on key point detection.

[0044] A kind of NBI gastroscope image processing method based on key point detection, comprises the following steps:

[0045] Step S110, preprocessing the NBI gastroscope image data, and converting the NBI gastroscope image into a grayscale space.

[0046] Step S110 includes:

[0047] The combination of median filter and wavelet denoising is used to denoise the NBI gastroscope image;

[0048] The denoised NBI gastroscope image was converted ...

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Abstract

Disclosed is an NBI gastroscope image processing method based on key point detection. Key points are extracted from preprocessed gastroscope images through an SIFT algorithm, then part of NBI gastroscope images are extracted as a training set, a feature bag is formed by all key points in the training set, and a vision dictionary is generated through a clustering algorithm. Key point classification statistics is carried out on a single NBI gastroscope image according to an actual dictionary as a global feature. Finally, a trained classifier is used for recognizing the global feature of the single NBI gastroscope image. Therefore, the NBI gastroscope image recognition process is completed, and due to the fact that the SIFT algorithm has the good robustness on the NBI gastroscope images with the complex imaging environment and gastric juice and food residue interference, the recognition accuracy of the NBI gastroscope images is increased, and calculation complexity is lowered.

Description

[0001] technology neighborhood [0002] The invention relates to image recognition, in particular to an NBI gastroscope image processing method based on key point detection. Background technique [0003] Computer recognition technology for gastroscopy images has been developed for many years. For example, in order to reduce the influence of complex environments, the image is divided into multiple blocks on average, and then local color features are extracted for classification and recognition. At present, in many studies, grayscale texture features are widely used, such as local binary patterns (LBP, Local Binary Patterns), texture spectrum and wavelet domain co-occurrence matrix (WDCMF, Wavelet Domain Co-occurrence Matrix Features, these methods play their own roles. The computer recognition system for gastroscope images is mostly based on the imaging analysis of gastroscope images. Generally, the contrast of gastroscope images is low, and the analysis difficulty is increase...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54G06K9/62
CPCG06V10/462G06F18/213G06F18/23213
Inventor 周丰丰刘记奎赵苗苗葛瑞泉王普
Owner SHENZHEN INST OF ADVANCED TECH
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