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A coated tongue separation method and device based on k-means clustering

A separation method and clustering technology, applied in the field of image processing, can solve problems such as low accuracy and efficiency, and insufficient automation, and achieve the effects of good accuracy, high automation, and high efficiency

Pending Publication Date: 2019-05-28
OVATION HEALTH SCI & TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention proposes a moss separation method based on k-means clustering to solve the problems of insufficient automation, low accuracy and low efficiency of current moss separation methods

Method used

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  • A coated tongue separation method and device based on k-means clustering
  • A coated tongue separation method and device based on k-means clustering
  • A coated tongue separation method and device based on k-means clustering

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Embodiment Construction

[0062] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0063]Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or overl...

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Abstract

The invention provides a coated tongue separation method and device based on k-means clustering, and the method comprises the steps: enabling the obtained image information in a first tongue image tobe mapped into a three-dimensional matrix, and carrying out k-means clustering of M centers on the image information in the three-dimensional matrix to obtain a pixel label matrix with M category label values; and mapping the pixel label matrix into M pre-constructed empty images with the same size as the first tongue image to obtain M label images corresponding to the first tongue image, the M label images being moss images obtained by first separation. K-based method provided by the invention According to the method for separating the moss of the means cluster, the moss image is separated from the tongue image through color conversion, category mapping, image separation, image merging, image screening and the like in sequence, the automation degree is high, the efficiency is high, and the accuracy of the separated moss image is good.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a k-means clustering-based moss separation method and device. Background technique [0002] The shape of the tongue coating varies from person to person. It is of great practical significance to use image processing technology to conduct big data research on the topography of the tongue coating included in the acquired tongue images, and to determine the differences in the topography of the tongue coating and the relationship with other physiological indicators of the human body. [0003] The traditional method of separating the moss from the tongue image requires human-computer interaction to obtain the approximate location information of the moss on the tongue. The steps are cumbersome, the degree of automation is insufficient, the efficiency is low, and the subjectivity is strong and the accuracy is low. Contents of the invention [0004] The invention proposes a m...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62
CPCY02A40/22
Inventor 周枫明宋臣汤青魏春雨王雨晨
Owner OVATION HEALTH SCI & TECH CO LTD
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