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Random walk tongue image extraction method based on multi-rule fusion

A technology of random walk and extraction method, which is applied to computer components, instruments, character and pattern recognition, etc., can solve the problem of not being able to extract mossy tongue images, achieve cost advantages, simple and reliable software and hardware, and improve efficiency

Inactive Publication Date: 2015-07-08
JIANGXI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
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AI Technical Summary

Problems solved by technology

At present, due to the diversity of tongue images, some tongue image extraction methods have their own limitations, and cannot correctly extract the mossy tongue image

Method used

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  • Random walk tongue image extraction method based on multi-rule fusion
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  • Random walk tongue image extraction method based on multi-rule fusion

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Embodiment Construction

[0050] The system used in the random walk tongue image extraction method in the present invention includes a camera obscura or a digital camera 1 , a data line 2 , a PC 3 , random walk tongue image extraction software 4 and a user 5 . Use a digital camera to take pictures of the patient's protruding tongue, and then transmit the original tongue image to the PC through the data cable, then use the random walk tongue image extraction software to call the original tongue image file and process it to extract The tongue body area is the target tongue image, and the finally extracted tongue image is presented to the user through the software interface.

[0051]The hardware requirements in the system are as follows: the digital camera adopts a digital camera with more than 5 million pixels to ensure a certain definition; the PC adopts an Intel Core 2 1.66GHz processor, a memory of more than 2G, and at least 2G of remaining hard disk space. The software requirements in the system are ...

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Abstract

A random walk tongue image extraction method based on multi-rule fusion comprises the following steps that initial segmentation is performed on an original image by utilizing a toboggan algorithm with a reduced rule, so an initial range set is acquired; a composite weighting function is utilized for establishing a weighted graph, and simplification is performed; final cluster segmentation is performed by utilizing a random walk tongue image extraction method based on multi-rule fusion, so a tongue body area image is generated; finally, a target area is trimmed through mathematical morphology operators, so pinholes in the tongue image area are eliminated, and a target tongue image is obtained. The random walk tongue image extraction method is high in intelligent degree, the whole extraction process is completed in a full-automatic mode, the efficiency of the random walk algorithm is greatly improved, the time required by tongue image extraction is shortened, and a tongue image can be successfully and accurately extracted from the image containing a tongue coating.

Description

technical field [0001] The invention relates to a multi-rule fused random walk tongue image extraction method capable of automatically extracting tongue images from background areas such as faces, lips and teeth. Background technique [0002] Tongue diagnosis is the main content of inspection in the four diagnosis methods of traditional Chinese medicine, and it is a characteristic diagnosis method in traditional Chinese medicine. Traditional tongue diagnosis mainly relies on doctors of traditional Chinese medicine to subjectively identify the characteristics of the patient's tongue image, such as the quality of the tongue, the color, texture, shape, and thickness of the tongue coating, so as to make reasonable inferences about the patient's condition. Traditional tongue diagnosis mainly relies on the diagnostic experience of doctors of traditional Chinese medicine, and the results of tongue diagnosis are easily affected by human subjective and objective environments. Theref...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
Inventor 朱明峰杜建强张康何扬名丁成华
Owner JIANGXI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
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