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Image feature extraction and analysis method, system and device

A technology of image feature extraction and analysis method, which is applied in the field of medical image processing and application, and can solve the problems of increasing the complexity of clinical application

Pending Publication Date: 2019-08-16
苏州欧谱曼迪科技有限公司
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Problems solved by technology

[0006] However, in the application of fiber optic microendoscopy image analysis based on the morphological characteristics of squamous cells, when enhancing low-contrast fiber optic microendoscopy images, it is necessary to select the best parameter combination through multiple intensity adaptive contrast enhancement experiments. Increased complexity of clinical application

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  • Image feature extraction and analysis method, system and device
  • Image feature extraction and analysis method, system and device
  • Image feature extraction and analysis method, system and device

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[0082] The present invention will be described in detail below in conjunction with the implementations shown in the drawings, but it should be noted that these implementations are not limitations of the present invention, and those of ordinary skill in the art based on the functions, methods, or structural changes made by these implementations Equivalent transformations or substitutions all fall within the protection scope of the present invention.

[0083] In the present invention, the optical fiber microendoscope system uses an optical fiber bundle as a probe for microscopic imaging. Because the light transmittance of a single optical fiber core and the cladding in the optical fiber bundle is different, the image collected will have obvious pixelation (brightness and darkness change) ), reducing the system resolution. The commonly used depixelization method is Gaussian filtering. Although this method is simple, fast and effective, it will blur the entire image and affect the...

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Abstract

The invention provides an image feature extraction and analysis method, system and device, and the method comprises the steps: carrying out the filtering preprocessing of an image collected through anoptical fiber microendoscope; carrying out contrast enhancement processing on the image after filtering preprocessing; carrying out segmentation processing on the image subjected to contrast enhancement processing, and extracting a segmented target feature structure; and carrying out superposition processing on the extracted target feature structure, and carrying out reinforcement processing on the boundary of the image after superposition processing. According to the invention, the morphological characteristics of squamous cells in the optical fiber microendoscope image are enhanced, the work of endoscopic doctors is assisted, the workload and training burden of the doctors are reduced, and the clinical efficiency is improved.

Description

technical field [0001] The invention relates to the field of medical image processing and application, in particular to a method, system and device for feature extraction and analysis of esophageal squamous cells based on optical fiber microendoscopic images. Background technique [0002] The fiber optic microendoscope based on the fiber optic bundle (hereinafter referred to as the fiber optic microendoscope) has the capability of subcellular real-time imaging. In the application field of esophageal intestinal mucosa screening, many studies have shown that fiber optic endoscopy will generate useful clinical data, which can help early detection of precancerous and cancerous lesions of the esophagus. Therefore, fiber optic endoscopy has great clinical application value in the early detection of esophageal lesions. [0003] Like other advanced esophageal endoscopy techniques, fiber optic endoscopy has a long learning curve, and the diagnostic effect of images depends on the do...

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Application Information

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IPC IPC(8): G06T7/136G06T5/00G06T5/30
CPCG06T7/136G06T5/30G06T2207/10068G06T2207/30004G06T5/70
Inventor 王璐瑶林立安昕
Owner 苏州欧谱曼迪科技有限公司
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