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Method and device for detecting and processing dynamic image and display terminal

A technology of dynamic images and processing methods, applied in the field of image processing, can solve the problems of reduced recognition rate and increased data processing volume, and achieves the effects of improving the accuracy rate, eliminating interference, and reducing the amount of calculation.

Active Publication Date: 2012-07-18
TCL CORPORATION
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a dynamic image detection and processing method, device and display terminal, aiming to solve the problem of lower recognition rate and increased data processing capacity caused by the existence of non-interesting moving objects in the process of image recognition in the prior art The problem

Method used

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  • Method and device for detecting and processing dynamic image and display terminal
  • Method and device for detecting and processing dynamic image and display terminal
  • Method and device for detecting and processing dynamic image and display terminal

Examples

Experimental program
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Embodiment 1

[0033] figure 1 The implementation flow of the dynamic image detection and processing method provided by Embodiment 1 of the present invention is shown, and the process of the method is described in detail as follows:

[0034] In step S101, an image frame containing a reference target is collected, and preprocessing is performed on the image frame.

[0035] In the embodiment of the present invention, the image acquisition process is as follows: the color camera collects a preset number (for example, 25) of color images per second, and each color image is numbered sequentially to obtain a sequence of color frames.

[0036] Because the acquired color image is often polluted by intensity random signal, namely noise. Image preprocessing can remove interfering noise. In this embodiment, a linear smoothing filter is used for image preprocessing. The linear filter uses the weighted sum of pixels in the continuous window function to achieve filtering. The formula is:

[0037] ...

Embodiment 2

[0058] figure 2 The processing flow of the dynamic image detection processing method provided by the second embodiment of the present invention is shown.

[0059] In step S201, an image frame including a reference target is collected, and preprocessing is performed on the image frame.

[0060] Wherein, the specific implementation process of step S201 is the same as that of step S101 in the above-mentioned embodiment 1. For details, refer to the above-mentioned embodiment, and details are not repeated here.

[0061] In step S202, obtain the edge profile of the reference target of the image frame, obtain the gradient direction of each edge point on the edge profile of the reference target, count the number of edge points on the gradient direction of each edge point, and calculate all The average value of the number of edge points in the edge point gradient direction.

[0062] In this embodiment, the feature value corresponding to the reference target is specifically the avera...

Embodiment 3

[0085] Figure 5 The processing flow of the dynamic image detection processing method provided by the third embodiment of the present invention is shown.

[0086] In step S301, an image frame containing a reference target is collected, and preprocessing is performed on the image frame.

[0087] Wherein, the specific implementation process of step S301 is the same as that of step S101 in the above-mentioned embodiment 1. For details, refer to the above-mentioned embodiment, which will not be repeated here.

[0088] In step S302, obtain the edge contour of the reference object of the image frame, traverse each edge point on the edge contour of the reference object, obtain the uppermost, lowermost, leftmost and rightmost edge points, and obtain the minimum circumscribed rectangle, according to the minimum circumscribed rectangle Rectangle Gets the width, height, and aspect ratio of the smallest bounding rectangle of the reference target.

[0089] In this embodiment, the feature...

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Abstract

The invention is applied to the field of image processing and provides a method and a device for detecting and processing dynamic image and a display terminal. According to the embodiment of the invention, a characteristic value corresponding to a reference object is obtained by carrying out edge extraction and characteristic extraction on the reference object; judgment conditions are set according to the characteristic value corresponding to the reference object; the edge extraction and the characteristic extraction are carried out on all moving objects detected by the dynamic image to obtain the characteristic values corresponding to the moving objects; the characteristic values corresponding to the moving objects are compared with the judgment conditions; the moving objects according with the judgment conditions are considered as interested objects to be retained; and the moving objects which do not accord with the judgment conditions are considered as interference objects to be filtered. Therefore, the interference caused by non-interested moving objects in front of or behind an interested moving object can be eliminated, the calculated amount of data in the image recognition process is greatly reduced and the accurate rate of image recognition is effectively improved.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a dynamic image detection and processing method, device and display terminal. Background technique [0002] With the emergence of computers in the 1940s and the rise of artificial intelligence in the 1950s, people increasingly hope to use computers to replace or expand part of human mental work. With rich and humanized experience requirements, natural human-computer interaction technology has become an important development direction, and pattern recognition technology is widely used in it. [0003] Taking gesture recognition as an example, in various natural human-computer interaction methods, human gestures can be said to be the most natural, intuitive, and easy-to-learn means of communication, and it is also the best input tool in human-computer interaction. However, since the recognition of human hands is a very complicated problem, limited by the computing power ...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T7/20
Inventor 李相涛张登康邵诗强付东
Owner TCL CORPORATION
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