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Cross target detection method and system and storage medium

A cross target and detection method technology, applied in the field of image processing, can solve the problems of difficult to accurately detect targets and poor robustness, and achieve the effect of good applicability and improved robustness

Inactive Publication Date: 2019-11-15
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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  • Application Information

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Problems solved by technology

Not only lighting conditions and background interference have a great impact on the recognition results, but also when the image is rotated, scaled or the target is partially occluded, it is difficult for this method to accurately detect the target, making the method less robust

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  • Cross target detection method and system and storage medium
  • Cross target detection method and system and storage medium

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Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0050] The embodiment of the present application provides a detection method of a cross target, such as figure 1 shown, including:

[0051] S101: Acquire a grayscale image containing a cross target;

[0052]In this embodiment, the purpose of using the grayscale image containing the cross target for subsequent processing is to avoid the problem of low efficiency of method implementation due to the excessive calculation amount of the RGB three channels of the color image.

[0053] W...

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Abstract

The invention discloses a cross target detection method and system and a storage medium. The detection method of the cross target comprises the following steps: firstly, carrying out convolution and other processing on a grayscale image containing the cross target to obtain an edge image; mapping all pixel points in the edge image into a Hough space; obtaining the angle and position information ofall the line segments in the edge image according to the Hough transform matrix and the edge image, and finally determining the center position of the cross target according to the angle and positioninformation of all the line segments in the edge image. A template does not need to be calibrated in advance, and the applicability is good; and since the angle and position information of the line segment is acquired in the Hough space, the method is not affected by image rotation and zooming, the purpose of correct identification can be achieved even if the cross target in the grayscale image is partially shielded, and the robustness of the detection method of the cross target is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and more specifically, to a detection method, system and storage medium of a cross target. Background technique [0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the shape information of the captured target. According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/136G06T7/66
CPCG06T7/13G06T7/136G06T7/66G06T2207/10004G06T2207/10024G06T2207/20061
Inventor 孙海江王佳松
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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