Method for automatically detecting fit dimension of surgical knife blade

Abstract

The invention relates to a method for automatically detecting fit dimension of a surgical knife blade, which is characterized in that the detailed steps are as follows: 1 collecting images: namely collecting original images by a Complementary Metal Oxide Semiconductor (CMOS) sensor, and performing an open operation to the original images, that is first corrosion then expansion so as to eliminating noise points; 2 calibrating the system, namely calibrating the system by using a calibration gauge block, obtaining a real width represented by each pixel; 3 template matching based on a shape, namely using the template matching method based on the shape to locate a measurement domain and an edge extraction domain of detection items; 4 detecting a sub-pixel edge. The invention has advantages that: the detection method is controlled by a computer in real time, a CMOS camera is driven and controlled by a software, the images of the surgical knife can be observed by a system initiation and a real-time display module; the system is firstly calibrated before each measurement aiming at a requirement of dimension measurement; pre-treatments such as noise elimination or the like are performed to the images; the detection results can be visually displayed through a display by using the template matching technology and compilation of a software interface.

Description

technical field [0001] The invention relates to an automatic detection method, in particular to an automatic detection method for the matching size of a surgical blade. Background technique [0002] The scalpel handle and the detachable blade need to have good compatibility and interchangeability, so the matching size detection of the blade is a very common and practical problem in the quality control of surgical blades. At present, domestic surgical blade manufacturers mainly adopt manual measurement methods, such as using universal tool microscopes, grating rulers, angle gauges and other tools to measure the size of surgical blades. This traditional manual visual inspection is time-consuming, labor-intensive and inefficient, and human error is inevitable. Contents of the invention [0003] The present invention is aimed at the problem that the current measurement method is still maintained in a manual state, and there are errors and low efficiency. It proposes an automa...

AI Technical Summary

Problems solved by technology

[0003] The present invention is aimed at the problem that the current measurement method is still maintained in a manual state, and there are errors and low efficiency. It proposes an automatic detection method for the size of the surgical blade, which can effectively detect the size of the surgical blade, such as figure 1 α, b, b shown 1 , L 1 , L 2 And other data indicators, in order to quickly and accurately detect whether the product meets the design requirements, and has the characteristics of high precision, fast speed, and non-contact

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