Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image feature automatic identifying and extracting method

An automatic recognition and image feature technology, applied in the computer field to achieve the effect of improving efficiency, reducing complexity, and extracting quickly and efficiently

Inactive Publication Date: 2016-06-15
TIANJIN MEDVALLEY TECH CO LTD
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] An example of the present invention provides a method for identifying and extracting pricks in tongue image analysis, so as to solve the problem of the preliminary processing of tongue images in the identification of tongue body information, the selection of color space when tongue pricks are extracted, and the characteristics of pricks. magnification, separation of tongue information and prick information, image noise reduction, and processing of foreseeable impurity interference

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
  • Image feature automatic identifying and extracting method
  • Image feature automatic identifying and extracting method
  • Image feature automatic identifying and extracting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0028] The example of the present invention provides a kind of image color space conversion, the method for feature recognition and feature extraction, such as figure 1 shown, including the following steps:

[0029] Step 1: Define a new color space, map the original tongue map to the new color space according to the transformation matrix, and obtain the tongue map after the enlarged prick feature, as shown in image 3 . figure 2 It is a three-dimensional information map of tongue map color in RGB space.

[0030] Step 2: Combined with the maximum inter-class variance algorithm, define the size of the filter operator according to the size of the tongue map, and dynamically define the weighting coefficient of the operator according to the color information of the tongue map points;

[0031] Step 3: Use the operator generated in step 2 to perf...

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 present invention relates to the computer technology field, in particular to an image feature identifying and extracting method. The method comprises the steps of establishing a color space, mapping a tongue picture to the new color space according to a mapping relationship of the RGB and the new color space, referencing a maximum between-cluster variance algorithm, dynamically defining a filtering operator, carrying out the high-pass filtering on the tongue picture, filtering the tongue body information, obtaining a tongue body approximate pricking information distribution diagram, carrying out the denoising smoothing operation according to a newly obtained image matrix, and obtaining and extracting the accurate tongue body pricking information.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for identifying and extracting image features. Background technique [0002] Diagnostics of traditional Chinese medicine is a discipline spanning basic and clinical. It makes the symptoms and signs correspond to syndrome-type diseases one by one, and is the primary way for doctors to diagnose and treat diseases. Observation diagnosis is the first of the four diagnostic methods of traditional Chinese medicine, "observation, hearing, questioning and palpation". [0003] Tongue diagnosis is often mentioned in inspection and can be said to be the most characteristic diagnostic method of traditional Chinese medicine. Tongue diagnosis fully embodies the principle of disease recognition in TCM diagnostics. TCM believes that the human body is an indivisible organic whole, and every part of the body is closely related to the whole or other parts. Outline Syndrome Differentiat...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46
CPCG06T2207/20024G06V10/40
Inventor 董玉舒赵亮
Owner TIANJIN MEDVALLEY TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products