Thermal protector calibration point center positioning method based on machine vision

Abstract

The invention discloses a thermal protector calibration point center positioning method based on machine vision. The thermal protector calibration point center positioning method comprises the steps of image preprocessing, target extraction, calibration point area edge extraction, calibration point central position determination and the like. According to the method, the extracted edge is subjected to circle detection through the improved random Hough transformation, and the calibration point central position is obtained. The method overcomes the defects that a traditional Hough transformationdetection circle is large in calculated amount and occupies too much memory, and the detection speed is greatly increased. According to the method, the problem of poor robustness under a complex background when the edge points of the image are detected by a random circle detection algorithm (RCD), is solved, the robustness of the system is improved, the adaptability of the thermal protector calibration point center positioning to the environment is enhanced, and the application field of the system is wider.

Description

technical field [0001] The invention belongs to the technical field of thermal protectors, and in particular relates to a method for locating the center of a calibration point of a thermal protector based on machine vision. Background technique [0002] Thermal protector is a kind of circuit protection device, which is widely used in various electrical products. Its main working principle is to keep the circuit connected at room temperature, and cut off the circuit when the temperature exceeds the set threshold. The main function is the internal bimetal, but the jump temperature of the bimetal is closely related to the depth of the calibration point, so the depth measurement of the calibration point is an important content in product inspection. Due to the small size of the calibration point, the first step when using structured light depth detection is to locate the center point of the calibration point to ensure that the structured light can accurately hit the deepest part...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems of complex optical conditions, many interference factors, and unsatisfactory detection results of current thermal protectors, this invention proposes a center positioning method for calibration points of thermal protectors based on machine vision

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