Machine visual identification method for sorting products with corner point characteristics
An identification method and corner point technology, which are applied in instruments, image analysis, image data processing, etc., can solve the problems of difficulty in dealing with the random situation of the object to be identified, and a large amount of calculation, so as to improve the speed and efficiency of sorting, matching and matching. The algorithm is simple and the amount of calculation is small.
Active Publication Date: 2013-12-25
SHANGHAI ROBOT IND TECH RES INST CO LTD
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[0008] In view of the large amount of calculation existing in the prior art and the difficulty in dealing with the random situation of the object to be recognized, the present invention provides a machine vision recognition method for product sorting with corner point features
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[0032] Below in conjunction with accompanying drawing, the present invention is described in further detail:
[0033] like figure 1 As shown in the figure, the machine vision-based sorting system applicable to the present invention is shown. The system includes an assembly line conveyor belt for conveying objects to be sorted, an industrial camera installed beside the assembly line conveyor belt, a computer connected to the industrial camera, and a sorting system. The executive agency, when performing identification and sorting, continuously sends the objects to be sorted into the sorting operation area. The objects to be sorted refer to products that have not been determined as products and will be identified and sorted. The objects to be sorted enter the sorting work area with the conveyor belt. Under the control of the computer, the industrial camera acquires the image containing the object to be sorted on the assembly line, and the industrial camera sends the image conta...
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The invention discloses a machine visual identification method for sorting products with corner point characteristics. The method comprises the steps as follows: performing Freeman chain code encoding on the image outlines of known products, detecting the corner points by using the Freeman chain codes, calculating the corner point characteristic three-dimensional column vectors of all the corner points, sequencing the corner point characteristic three-dimensional column vectors and taking the vector sequence as the vector sequence of the known products; performing Freeman chain code encoding on the image outlines of objects to be sorted, detecting the corner points by using the Freeman chain codes, calculating the corner point characteristic three-dimensional column vectors of all the corner points, sequencing the corner point characteristic three-dimensional column vectors and taking the vector sequence as the vector sequence of the objects to be sorted; and judging the vector sequence of the known products and the vector sequence of the objects to be sorted and finishing machine visual identification. According to the method, the shapes of the known products and the objects to be sorted are simply represented by the chain codes; the subsequent calculation quantity is small; the extracted vector sequence has zooming and rotation invariance can be accurately identified; and the algorithm is simple.
Description
technical field [0001] The invention relates to the technical field of on-line sorting by using machine vision, in particular to a method for on-line recognition of products by using a machine vision system at a product sorting site with corner point features. Background technique [0002] Sorting operation is an important link in most assembly lines. Compared with manual sorting operations, automatic sorting based on machine vision is efficient, accurate, and has quality assurance. It can be widely used in machinery, food, medicine, cosmetics and other production fields. [0003] When the sorting system based on machine vision is working, the objects to be sorted are continuously sent into the sorting work area. The object to be sorted refers to the product that has not been determined and will be identified and sorted. The objects to be sorted enter the sorting work area with the conveyor belt. Under the control of the computer, the industrial camera acquires the image c...
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IPC IPC(8): G06T7/00
Inventor 郭帅李健叶丰施玮王志勇
Owner SHANGHAI ROBOT IND TECH RES INST CO LTD