Detection method of bending degree of emulsified intestinal food products based on machine vision
A technology of machine vision and emulsification of intestines, applied in instruments, measuring devices, optical devices, etc., can solve the problems of low detection quality, large influence of light factors, low production efficiency, etc., to improve the degree of automation, improve detection speed and Efficiency, human resources and production cost savings
Inactive Publication Date: 2014-10-15
HENAN UNIV OF SCI & TECH
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[0005] The purpose of the present invention is to provide a machine vision-based detection method for the bending degree of emulsified sausage products, so as to solve the problems that the existing detection methods are greatly affected by human factors and light factors, the detection quality is not high, and the production efficiency is low
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[0022] The intestinal body can appear in the horizontal direction in the image through mechanical placement or conveying device, and after the size is appropriate, the intestinal food product is sent to the computer in the form of a product image through the camera device, and the collected intestinal food product image is processed Edge sharpening, filtering, etc. After that, enter the appearance quality measurement and judgment. Appearance quality includes aspects such as "bending degree" and "whether the casing bursts or not". This patent provides a calculation method for the "bending degree" of intestinal food products, which is suitable for measuring and calculating the "bending degree" of intestinal food products similar to cylindrical strips.
[0023] The specific calculation method and steps are as follows:
[0024] 1) The image is scanned by an image edge detection algorithm such as Sober, and the specific positions of the left wrapping endpoint M and the right wrap...
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The invention relates to a method for detecting bending degree of emulsion sausage food products based on machine vision. The method comprises the following steps: firstly, processing the image of the emulsion sausage food product; marking the positions of the left packing end and the right packing end of the sausage food product in the image; connecting the two packing ends to constitute a line segment and equally dividing the segment into n sections along the length direction; successively connecting two adjacent edge points on the upper edge and the lower edge of the sausage body respectively to perform piecewise linearization; calculating the inclined angle of each line segment; comparing and solving the largest inclined angle difference of the upper edge and the lower edge as the bending degree quantized value of the sausage food product; comparing the value with a set bending threshold; and if the value is larger than the bending threshold, the sausage food product is unqualified and if the value is less than the bending threshold, the sausage food product is qualified. The method can automatically perform the machine vision on-line detection of the bending degree of the sausage food products, so that the detection speed and the detection efficiency are greatly improved, the automation degree of product quality detection of enterprises is improved and meantime a large number of human resources and production cost are saved.
Description
technical field [0001] The invention belongs to the technical field of computer image detection, and relates to a machine vision-based method for detecting the bending degree of emulsified intestinal food products, which is suitable for large-scale appearance quality inspection of large intestinal food product processing enterprises. Background technique [0002] The rapid development of computer technology has been widely used in many industrial controls and product quality inspections. It has been applied in the field of circuit board surface defect detection and other fields. [0003] At present, most sausage product processing enterprises in my country mainly rely on "human vision and personal subjective judgment" to detect the appearance quality of products such as "casing swelling or bursting degree" and "bending degree", which not only takes up a lot of manpower, but also It is also easily affected by personal vision, emotion, fatigue, light and other factors, resulti...
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IPC IPC(8): G01B11/16
Inventor 卜文绍张河新张春阳乔岩茹
Owner HENAN UNIV OF SCI & TECH