Irregular beverage bottle stacking image edge detection method based on improved Roberts operator

Abstract

The invention provides an irregular beverage bottle stacking image edge detection method based on an improved Roberts operator. The method comprises the following steps of S1, performing filtering, edge information retaining and denoising on an irregular beverage bottle stacking image by utilizing a morphological smoothing algorithm; S2, calculating a morphological gradient of the image under a single scale; performing calculation to obtain a multi-scale morphological gradient image according to the morphological gradient of the image under the single scale; determining the position of a maximum value point in the multi-scale morphological gradient image; selecting a corresponding morphological gradient edge by using a zero crossing point position template, and removing a pseudo edge according to a preset threshold value; and S3, carrying out edge detection on the multi-scale morphological gradient image by adopting an improved Roberts edge detection operator to obtain edge informationof the irregular beverage bottle stacking image. A communication base station can improve the spectrum distribution rate and the transmission efficiency.

Description

technical field [0001] The invention belongs to the technical field of factory equipment control, and in particular relates to an image edge detection method for stacking irregular beverage bottles based on an improved Roberts operator. Background technique [0002] Image edge detection technology is mainly used in monitoring and access control facilities for road traffic control or car access monitoring. Now it is gradually applied in the automatic control system of the factory. For the stacking of a large number of goods in the factory, the existing method is manual stacking, which is time-consuming and labor-intensive. It is necessary to perform edge detection on the stacked image to achieve automatic stacking. [0003] In addition, image edge detection technology, like camera sampling technology, digital-to-analog conversion technology, and interface technology, is one of the core technologies of security systems. It has a profound research foundation. In the past 50 yea...

AI Technical Summary

Problems solved by technology

With the deepening of the research, it is found that the detection accuracy of the Roberts operator is high, so some use the Roberts operator for edge detection, such as the patent number 201510172635.4 (name: image edge detection method based on the Roberts operator), this method is compared with Due to the improvement of the accuracy and anti-noise ability of the existing technology for image edge detection, there is a problem that it cannot still have a good recognition in a complex noise environment, and the robustness is poor.

The traditional Roberts edge detection operator is accurate in edge positioning, but sensitive to noise

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