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Hand function evaluation method based on image processing technology

A technology of image processing and evaluation methods, which is applied in image data processing, image enhancement, image analysis, etc., and can solve problems that affect training effects, unreliable subjectivity, adjustment, etc.

Inactive Publication Date: 2016-08-10
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the evaluation process, professional doctors are required to measure and evaluate. Due to the individual differences of the measurers, the judgment standard range is relatively large, and the direct changes in these ranges of 110%-75%-50%-0% cannot be carefully distinguished. For the training process The detailed changes cannot be reflected, resulting in the inability to adjust the training program in time during the rehabilitation training process, which seriously affects the training effect. Moreover, the current evaluation methods are very subjective and unreliable

Method used

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  • Hand function evaluation method based on image processing technology
  • Hand function evaluation method based on image processing technology
  • Hand function evaluation method based on image processing technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] see Figure 4 , a hand function evaluation method based on image processing technology, through an automatic detection of the degree of difference between the healthy hand and the affected hand, so as to complete the evaluation of the affected hand, which is characterized in that the operation steps are as follows:

[0081] (a) Start the hand function evaluation system: first turn on the power supply of the light source on the inner wall of the box, and the computer control system starts two cameras simultaneously;

[0082] (b) Obtain images of both hands: the patient puts his hand inside a special box, and obtains video images of the shape information of the patient's two hands;

[0083] (c) Unification of image scale: change the scale so that the images captured by different cameras are unified into the same scale;

[0084] (d) Remove noise and extract the shape of the hand: use the difference between the color of the hand and the background color to extract the shap...

Embodiment 2

[0095] This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0096] The step (a) described in the first embodiment starts the hand function evaluation system. The arrangement of multiple light sources on the inner wall of the box is used to eliminate shadows, reduce the difficulty of recognition caused by shadows, highlight the difference between the background color and the color of the hand, and improve the accuracy of hand shape extraction; during use, the two cameras need to Work at the same time to obtain the shape information of the left and right hands of the patient; when starting the system, first turn on the power supply of the light source on the inner wall of the box, and the computer control system starts the two cameras at the same time.

[0097] The step (b) obtains images of both hands, and these images include hand shape outline, handprint outline information, and background information.

[0098] The step (c) unifie...

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Abstract

The invention puts forward a hand function evaluation method based on an image processing technology. The hand function evaluation method comprises the following operation steps: starting an evaluation system; obtaining the images of two hands; carrying out image scale normalization; eliminating noise to extract the shape of each hand; converting the images into black and white; carrying out symmetric change on one hand, and regulating the direction of the hand; calculating geometric moments; calculating differences between the geometric moments; utilizing an improved CNL (The Controlling Number of Landmarks) algorithm to obtain the characteristic points of an outline; constructing an information data structure, and adding data; calculating a histogram difference degree of two hands; calculating the difference degrees of two hands; and closing a hand function evaluation system (which is disclosed in the drawing). The hand function evaluation method can make an accurate, quick, digital and scientific hand function recovery evaluation, solves the problems of a manual measurement error and judgment range inaccuracy in a disabled hand treatment process, and is favorable for doctors to help the hands of a patient to recover with an accurate and effective method.

Description

technical field [0001] The invention relates to a hand function evaluation method based on image processing technology, which is applied in a hand function evaluation system to automatically detect the degree of difference between the healthy hand and the affected hand, thereby completing the evaluation of the affected hand. technical background [0002] Hand function evaluation plays the role of evaluating, comparing, and observing the curative effect in the process of hand function recovery; it can also express the degree of disability and provide hand function judgment standards for relevant social departments. Continuous evaluation of the treatment process can not only guide and adjust the treatment plan at any time, but also is very important for judging the effect of rehabilitation. The evaluation must be implemented in strict accordance with the standardized standard methods to ensure the validity and reliability of the evaluation. The current main evaluation methods...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06T7/00
CPCG06F19/34G06T7/0014G06T2207/30004
Inventor 韩越兴
Owner SHANGHAI UNIV
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