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
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing methods require the tongue image to be very regular (for example, the to...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00G06T5/40
Inventor 廖士中江沙里
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products