Ellipse angle encoding and decoding method based on computer vision recognition system

Abstract

The invention discloses an ellipse angle encoding and decoding method based on a computer vision recognition system. The method comprises the following steps: a mapping rule construction step, an ellipse angle information capacity and corresponding parameter table is constructed, the ellipse angle information capacity and corresponding parameter table comprises a plurality of single ellipse angledata capacity values, a plurality of ellipse angle numerical values and a plurality of highest total capacity values, and the single ellipse angle data capacity values, the ellipse angle numerical values and the highest total capacity values are in one-to-one correspondence; an ellipse angle encoding step: determining the total data capacity required by the encoding, calculating the number of ellipse angles, constructing an ellipse angle encoding table and generating an ellipse angle encoding image; and an ellipse angle decoding step: identifying to obtain all ellipse graphs and an angle valueof each ellipse, looking up a table to obtain a binary number mapping value, and obtaining coding information according to the binary number mapping value. The anti-attack performance of the computervision coded image can be improved, and the implementation process is simple, stable and reliable.

Description

technical field [0001] The invention relates to data encoding and decoding methods, in particular to an ellipse angle encoding and decoding method based on a computer vision recognition system. Background technique [0002] With the rapid development of computer vision (Computer vision) technology in recent years, the image itself has become a medium of information exchange. For example, some industrial systems can map complex system instructions into corresponding graphics through coding tables, and the system can automatically execute the instructions after reading the graphics. However, the current computer vision codec technology still faces severe challenges, and the anti-attack feature is one of the biggest challenges. Among them, "encoding" refers to the process of converting information from one form or format to another; "decoding" is the reverse process of encoding, referring to the process of restoring the encoded content to the original information. At present,...

AI Technical Summary

Problems solved by technology

The attack on the original image will directly lead to the change of key features, which will lead to the change of encoded information

Images