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GrabCut algorithm-based automatic segmentation method of tongue diagnosis image

An automatic image segmentation and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of unsatisfactory segmentation effect and achieve the effect of efficient method

Inactive Publication Date: 2014-09-03
TIANJIN UNIV
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Problems solved by technology

Most of the existing methods require the tongue image to be very regular (for example, the tongue must be in the center of the image, etc.), and the segmentation effect is far from satisfactory

Method used

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  • GrabCut algorithm-based automatic segmentation method of tongue diagnosis image
  • GrabCut algorithm-based automatic segmentation method of tongue diagnosis image
  • GrabCut algorithm-based automatic segmentation method of tongue diagnosis image

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Embodiment Construction

[0042] Since the original GrabCut image segmentation technique generally needs to manually label some foreground and background pixels. If the spatial positions of the foreground and background can be known in advance, automatic labeling can be achieved, making the GrabCut image segmentation technology a fully automatic method. Taking into account the characteristics of the tongue diagnosis image, the tongue can be automatically positioned according to the characteristic that the tongue is generally red; after positioning, the tongue is in the center of the image, and the non-lingual part is at the edge of the image, so a large number of pixels can be marked with great confidence . This provides enough information to accurately build the GMM model, which is then input to GrabCut to complete the entire automatic segmentation process.

[0043]The objects and technical solutions of the present invention are further described in detail below with reference to the accompanying dra...

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Abstract

The invention discloses a GrabCut algorithm-based automobile segmentation method of a tongue diagnosis image. The method comprises the following steps: 1, positioning a tongue body in a thresholding manner based on regression of a hue histogram; 2, over-segmenting and initializing a central area as a foreground and a peripheral area as a background; and 3, carrying out automatic segmentation on the tongue diagnosis image obtained in the step 2 according to a GrabCut algorithm. Compared with the prior art, the automatic segmentation method disclosed by the invention is not independent of an assumption that a tongue body is positioned in the center of the image and is more effective by means of techniques of sequentially zooming out, processing and zooming up. An experiment on a true tongue diagnosis image indicates that the automatic segmentation method can be used for effectively finishing automatic segmentation of the tongue diagnosis image and making preparation for further analysis of the tongue diagnosis image.

Description

technical field [0001] The invention relates to digital image processing technology, in particular to an automatic segmentation method for tongue diagnosis images. Background technique [0002] Tongue diagnosis is an important diagnostic method in traditional Chinese medicine. Chinese medicine can quickly diagnose many conditions by looking at the tongue. However, the diagnosis process is highly subjective, and its diagnosis results depend on the doctor's experience and subjective judgment, so it is difficult to popularize and inherit. Tongue diagnosis based on computer-aided technology is an effective way to objectify it. Using image processing and pattern recognition techniques, the mapping relationship between tongue images and diseases can be described quantitatively (approximately). [0003] Among them, tongue segmentation is an important preprocessing step in computer-aided tongue diagnosis. The tongue body has different shapes and surface features, and the color o...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/40
Inventor 廖士中江沙里
Owner TIANJIN UNIV
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