Bearing roller image detection system, method and image detection device

Abstract

The invention discloses a bearing roller image detection method, which comprises the following steps: firstly, corresponding image parameters are debugged for different shooting environments; secondly, according to the related image parameters acquired in the first step, feature points of a standard piece are extracted, and standards for image recognition are determined; and finally, feature points of a tested piece are extracted and compared with the feature points of the standard piece for making a judgment.

Description

technical field [0001] The invention relates to an image detection system, in particular to a bearing roller image detection system and method. Background technique [0002] Image recognition activities are often performed in daily life. For example, we can distinguish between tables and chairs, we can distinguish our parents from a very young age, and we can read normally. These are all abilities we take for granted. Before the advent of computers, no one expressed surprise. Nor has anyone noticed that human pattern recognition is a worthy subject of study. After the emergence of computers, artificial intelligence began to develop, and pattern recognition became a hot topic. When scientists discovered that it was so troublesome to realize human pattern recognition ability with machines, people realized the difficulty of this problem. [0003] 30 years ago, the digital computer appeared. Its powerful numerical computing ability made people expect that it would have the sam...

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Problems solved by technology

[0003] 30 years ago, the digital computer appeared. Its powerful numerical computing ability made people expect that it would have the same non-numerical computing ability as the human brain. However, people’s early optimistic expectations did not become a reality. Compared with In the case of cash computers, the mechanism of the human brain is more complex. The fact that a computer surpasses humans in terms of numerical computing ability does not mean that its general computing ability is also very strong. How to realize non-numerical computing ability on a computer is just a matter of artificial intelligence and Important tasks for machine pattern recognition

[0009] 3. Large storage capacity and diverse methods. Most data loggers use large-capacity RAM, SRAM, FLASH, floppy disk or even hard disk to save data. The capacity of these storage methods is far greater than that of traditional recorders;

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