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A high-precision real-time multi-scale dial pointer detection method and system

A detection method and high-precision technology, applied in the field of image recognition, can solve the problems of inability to realize real-time target detection, time-consuming, etc., and achieve the effect of accurate Hough line detection results, good robustness, and improved recall rate

Active Publication Date: 2022-04-01
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

But they are all too time-consuming to achieve real-time object detection

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  • A high-precision real-time multi-scale dial pointer detection method and system
  • A high-precision real-time multi-scale dial pointer detection method and system

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[0051]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0052] Now in conjunction with accompanying drawing and embodiment the inventive method is further described:

[0053] An embodiment of a high-precision real-time multi-scale dial pointer detection method, such as figure 1 As shown, this embodiment specifically includes the following steps:

[0054] Step 1, the production of dial data set samples: select 1000 different types of dial sample pict...

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Abstract

The invention discloses a high-precision real-time multi-scale pointer detection method, which belongs to the image processing technology. The method of the present invention marks the dial picture in the training set, records the position of the pointer area in the dial picture; then performs data enhancement operation on the dial picture in the training set; then inputs the training set to the FaceBoxes network, and trains to obtain the dial pointer detection model; finally Input the image to be tested to the dial pointer detection model, output the pointer frame in the image to be tested, and then determine the pointer pointing by the center of the dial and the center point of the pointer frame; at the same time, use the adaptive Hough line detection for the detected pointer frame to further Refining the pointer pointing, combining the above two pointer pointing extraction methods, giving the preferred pointing information of the pointer; the invention also discloses a high-precision real-time multi-scale dial pointer detection system, which not only greatly improves the efficiency of pointer detection and accuracy, and the algorithm is more stable and robust.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and more specifically relates to a high-precision real-time multi-scale pointer detection method and system. Background technique [0002] Traditional pointer extraction algorithms include difference shadow method, Hough transform line detection and so on. The subtraction method is one of the simplest methods in the image segmentation algorithm. Its idea is to compare the difference of images, and then judge different images by comparing the difference of image gray level or the statistics of histogram. The difference image method is often used in dynamic detection and target recognition and tracking. Through difference comparison, the effect of eliminating the background can be achieved. The advantage of difference shadow method is that its algorithm is simple, fast, and the result is accurate. But the shortcomings are also obvious. There are many strict prerequisites. It requires t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/774G06V10/764G06V10/44G06V10/34G06K9/62
CPCG06V10/34G06V10/44G06V2201/02G06F18/214G06F18/24
Inventor 韩守东王俊凯郑丽君陈阳
Owner HUAZHONG UNIV OF SCI & TECH
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