Image processing-based bottled liquid impurity detection system and detection method thereof

Abstract

The invention discloses an image processing-based bottled liquid impurity detection system and a detection method thereof. The detection system consists of a mechanical part and a machine vision part; the mechanical part comprises a step motor, a conveyer belt, a fixed pulley and a mechanical clamping device; the machine vision part comprises a camera obscura, a related internal structure, a FPGA (Field Programmable Gate Array) board, a serial communication port, a display module, an alarm module and upper computer software. The detection method of the system is as follows: an image is acquired; the image is segmented from the background by the seed fill algorithm; salt and pepper noises and interference pixels are filtered by fuzzy processing; contrast is increased by binarization processing; the image is connected completely by erosion and dilation operation to remove tiny noise, so that impurities become visible; finally, contour tracing and extraction are carried out to obtain the number, shapes and positions of the impurities. The invention increases image acquisition and processing speed, consequently, manual detection can be replaced, and the purpose of increasing detection speed, quality and production benefit is achieved.

Description

Technical field [0001] The invention belongs to the field of impurity detection, and particularly relates to a bottled liquid impurity detection system and a detection method based on image processing. Background technique [0002] As we all know, whether the bottled liquid contains impurities is related to the safety of food and medicine. Nowadays, the country attaches great importance to food safety issues, so it is very important to strictly control the hygiene in the food production process and ensure the safety of civilian food. However, nowadays, most domestic enterprises and product production workshops use traditional naked eye identification. This identification method is slow, with poor reliability, and inspectors are prone to fatigue. Therefore, there is great development potential for the development and application of machine vision. This kind of system can automatically complete related functions efficiently and cheaply to replace the cost of employment. The deve...

AI Technical Summary

Problems solved by technology

There are several problems in the implementation process: (1) fast acquisition and processing of images; (2) separation of images and backgrounds

The detection of tiny foreign objects requires a high-resolution vision system, which undoubtedly increases the amount of data processed. Therefore, it is necessary to find a suitable algorithm to realize the rapid identification of impurities.

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