preface
Against the background of economic globalization, science and technology on the mainland have developed by leaps and bounds. The development of artificial intelligence has attracted the attention of the world. In artificial intelligence technology, image recognition, as the core of technology, has been widely used in various fields, bringing great convenience to modern life.
Image recognition technology in artificial intelligence should also keep up with the trend of the times, strengthen the research and development of new technologies, improve the image recognition technology system, and achieve more efficient development, so as to meet the needs of all levels of society and provide favorable guarantees for social development.
First, a review of image recognition technology in artificial intelligence
In recent years, the development of artificial intelligence has been widely concerned by the media, industry and academia, and the development of intelligence has gradually replaced the unique skills and advantages of human beings, the most representative of which is image recognition technology.
The powerful functions of image recognition technology reflect the trend of computer intelligent development, and the recognition process mainly includes information acquisition, information preprocessing, information feature classification, etc.
In our daily life and work, there are many things related to image recognition technology, such as fingerprint recognition, bar code recognition, etc., and with the development of society and technology, image recognition technology has also been widely used, especially in security inspection, information collection, transportation, agriculture, medicine and other fields have been widely used.
Second, the technical principle and composition principle of image recognition technology in artificial intelligence
In the field of the development of artificial intelligence science and technology in the mainland, image recognition is a very important research project, and with the rapid development of mainland science and technology, image recognition technology has been fully developed.
In order to make image recognition technology available in various fields, people should have a full understanding of the technical principles and composition principles of image recognition technology.
And always pay attention to the future development trend of this technology, in-depth exploration of the existing problems, in order to better meet people's actual needs, but also make image recognition technology in more fields to be fully used.
The technical principle of image recognition technology
The principle of artificial intelligence picture recognition technology refers to the picture technology processing carried out by the computer as the carrier of the technology, and its technical flow chart is shown in Figure 1
Figure 1 resembles a block diagram of the identification system
Or use other intelligent methods for further processing, and then further processing by professionals.
In fact, the technical principle of image processing technology is not as complex as imagined, if artificial intelligence is a person, we analyze the information obtained through the eyes, processing, and search for a series of explorations, and the image recognition technology in artificial intelligence is the same.
The principle of image recognition technology in artificial intelligence integrates the principle of computer data information processing, so the current image recognition technology needs to be completed by computer assistance.
However, for larger image information, the resolution will be reduced in the process of processing, so it is necessary to develop a more convenient new image recognition technology to improve the old recognition technology, so that the principle and use of artificial intelligence image recognition technology become more convenient, so as to better play its functions.
The composition principle of image recognition technology
The composition principle of image recognition technology in artificial intelligence is mainly the pattern recognition function of the image itself.
Pattern recognition is the core part of image recognition technology and an important component of artificial intelligence, which plays an important role in it.
At present, this technology is widely used in the fields of construction and medicine. For example, in the hospital, patients can understand the three-dimensional changes of the human body by taking films, so as to further analyze the human body diseases and understand the health status of the body.
In the field of architecture, the original floor plan can be transformed into a body plan through technical processing, so that the building structure is clearer.
It can be seen that the integration of pattern recognition technology and image recognition technology can make this technology not only applied to flat images, but also to three-dimensional graphics, which better meets people's practical needs in all aspects.
In addition, in image recognition technology, pattern recognition is not a simple recognition technology, but also integrates some other technologies and computing ideas, so image recognition technology has been effectively developed in artificial intelligence.
Third, the advantages of image recognition technology in artificial intelligence
In artificial intelligence, image recognition technology has the advantages of intelligence, convenience and practicality, which brings great convenience to people's life and work.
Intelligent advantages
The most significant advantage of image recognition technology in artificial intelligence lies in the intelligent features of images in the process of processing. Compared with the previous image processing technology, the image recognition technology in artificial intelligence can intelligently analyze and select pictures.
Artificial intelligence image recognition is based on the derivative development of information technology, and information technology has super intelligent advantages.
Therefore, image recognition technology also has certain intelligent advantages.
In people's life and work, through specific technical software, valuable information and data content can be identified from images, and then processed and analyzed, so as to highlight the advantages of intelligence, enhance the application value of artificial intelligence image recognition technology, and thus improve people's work and life efficiency.
Convenience and practicality advantages
In addition to the advantages of intelligence, artificial intelligence image recognition technology also has the advantages of convenience and practicality. Whether in our lives or work, image processing technology has a strong convenience. The application of artificial intelligence image recognition technology does not require complex processing technology to complete some difficult work well.
As far as the current artificial intelligence image recognition technology function is concerned, this technology also has this strong practical advantage, and this technology has developed towards the trend of popularization, making its function more convenient and practical, to meet people's practical needs.
Fourth, the application path of image recognition technology in artificial intelligence
Model recognition method
Pattern recognition is a very important model in artificial intelligence image recognition technology, which is based on big data information.
In other words, the emergence of model recognition is derived on the basis of people's original cognition and experience accumulation, and the integration between computer calculation and mathematical principles is realized, and then image recognition is automatically carried out, and objective evaluation is completed in this process.
Pattern recognition is usually divided into a learning process and an implementation process.
The learning process is actually the process of information storage, which requires collecting image information content in advance, and then identifying and classifying the collected information through the computer storage function and recognition function, and finally becoming a technical program that can perform image recognition.
The implementation process is the fit between the image and the template, and it is the basis of the recognition process. In actual use, computer recognition and human brain recognition are very different.
The computer can match and find the image information again according to the previously stored data and information, and if the match is successful, the image recognition is successful.
However, this recognition mode has certain limitations and is prone to errors in the same type of situation.
Neural network form
Among the artificial intelligence image information recognition technology, the most widely used is neural network technology. The principle of neural network technology is the same as that of model recognition technology, and a new intelligent model is based on image recognition technology. The identification process of this technical method is more complex and costly, but the efficiency is very efficient, and the extraction of information is relatively timely.
There are four common neural networks: feed-forward networks, feedback networks, combined networks, and hybrid networks.
The feed-forward network consists of multiple layers, which are characterized by the connection of neurons between adjacent layers, and the individual neurons in the same layer cannot be connected. Each neuron receives multiple inputs from the previous layer and then transmits it through a node to the individual neurons in the next layer. Its structure is shown in Figure 2.
Figure 2: Three-layer feed-forward network structure diagram
The characteristic of the feedback network is that while each node receives input signals, it can also receive feedback from other nodes, including the surrounding feedback that neurons output signals back to themselves. Its structure is shown in Figure 3.
Figure 3 Feedback network structure diagram
The combined networks are shown in Figure 4. This structure belongs to the ranks of network structures. This processing is different from the feedback network, which receives an input at a certain moment and processes it simultaneously under the interaction of various neurons.
Figure 4 Structure diagram of the interconnected network
A hybrid network is a way between a forward network and a combined network that connects neurons in the same layer. Its structure is shown in Figure 5.
Figure 5 Hybrid network structure diagram
Application of nonlinear dimensionality reduction forms
In addition to the above two technical applications, nonlinear dimensionality reduction is also a very important content in artificial intelligence information image recognition technology.
This form is based on high-dimensional recognition technology, which can work and recognize in a low image resolution state compared to the first two technologies.
Based on this advantage, the nonlinear dimensionality reduction form can produce multidimensional data with high data accuracy.
At present, the technology is still in the early stage of development, there are still many problems, if you want to have the improvement and effective application of technology in the short term, you need to conduct in-depth research from linear and nonlinear aspects.
The nonlinear dimensionality reduction form in artificial intelligence image recognition technology has been widely used in face recognition, agricultural biological development and energy engineering, improving the efficiency of information acquisition.
data
In the field of artificial intelligence, the use of data encryption technology on the basis of data can be said to be the key in the data transmission of both parties, ensuring the security and accuracy of data transmission.
In artificial intelligence image recognition technology, data is very important, so the algorithm generally uses two-dimensional data for encryption, after random arrangement and distribution, the use of 56 length to obtain the key to encrypt the data, and finally through transposition and replacement for operation, and finally become an encrypted data source.
In the field of artificial intelligence, when an encrypted data source is generated, 19 steps of processing are required for each set of data, and the output of each step is to prepare the output of the next step, and the encryption is completed after initial replacement.
Therefore, in the image recognition technology in the field of artificial intelligence, data encryption can better ensure the security of data during transmission.
E-mail is an important carrier of information transmission, although it is currently used in a small range, but it is still an important means of transmitting information.
Nowadays, information network technology is very developed, but some criminals will use the e-mail function to steal and imitate other people's information to obtain illegal profits.
The application of image recognition technology in e-mail can ensure the security of information and make e-mail security higher through data encryption.
Fifth, the prospect of artificial intelligence image recognition technology
With the development of the times and the advancement of science and technology, the image recognition technology in artificial intelligence is also constantly upgraded, optimized and improved, so that the image recognition technology has been better developed.
Although the current image recognition technology is accurate and advanced, there is still a lot of room for optimization, so it is necessary to fully understand the image recognition technology in artificial intelligence in order to give full play to the advantages of this technology and provide more convenience for human survival and development.
Image recognition technology is developing in the direction of ultra-high resolution and rapid transmission
In the current field of artificial intelligence, although image recognition technology has the characteristics of high definition, super information processing ability and small distortion, there will still be a large error, which has a certain impact on information recognition processing.
A large part of the reason for this problem is the impact of computer hardware equipment and image recognition technology information acquisition and processing capabilities.
In the future development process, image recognition technology will break through this barrier, and improve the original technical functions in the efforts and overcoming of relevant technical personnel.
With the improvement of computer hardware facilities, image recognition technology is becoming more and more mature and developing, and the errors in the application of artificial intelligence are gradually reduced, which greatly makes up for the needs of related industries.
Image recognition technology is developing in a multi-dimensional direction
In artificial intelligence, image recognition technology is based on two-dimensional pattern recognition, although the new generation of image recognition technology in recent years is mainly based on three-dimensional recognition, although the recognition effect has been improved, but it can not fully meet the development of modern society.
Therefore, the future artificial intelligence image recognition technology should break through the three-dimensional recognition technology, multi-dimensional recognition form is an unstoppable trend in the future development of image recognition technology, and with the advantage of multi-angle recognition is widely used in many fields, and human social life, work and other closer relations, play a decisive role.
The field of application is even wider
Image recognition technology in artificial intelligence is currently used in transportation, medicine, construction, agriculture, commerce and other fields, but with the development of the times, with the continuous optimization and improvement of image recognition technology, image recognition technology will be more widely used in the future.
With the popularization of artificial intelligence in human life and work, the frequency of use of image recognition technology has increased significantly, and then greater benefits have been obtained.
Therefore, in the future development, machinery completely replaces manual operation, and artificial intelligence and image recognition technology have developed in depth.
summary
In summary, image recognition technology in artificial intelligence is an emerging technology, which is widely used in various fields and has achieved good results, so it is also highly valued by many researchers.
With the continuous development of the times, the mainland has entered the information age, and artificial intelligence has replaced the original manual operation form, greatly improving the convenience and convenience of people's life and work.