Recognition of Objects Contained in Image Format P&amp;IDs Using Deep Learning and Image Processing Techniques

Moon, Yoochan; Yu, Eun-seop; Cha, JaeMin; Lee, Taekyong; Cheon, Sanguk; Mun, Duhwan

doi:10.7315/cde.2020.140

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Let the sampling frequency of the signal be f s , so in the k-th decomposition, the frequency band range of the approaching signal is (0, f s /2 k+1 ), and the frequency band range of the detail signal is (f s /2 k+1 , f s /2 k ). e second power of the coefficients is the same as the total energy of the waveform in the same time domain [15,16]. e equation of basketball goal signal extraction based on energy feature is as follows:…”

Section: Feature Extraction Of Basketball Goal Imagementioning

confidence: 99%

Research on Basketball Goal Recognition Based on Image Processing and Improved Algorithm

Hang-sheng

2021

Security and Communication Networks

View full text Add to dashboard Cite

This paper studies the basketball goal recognition method based on image processing and improved algorithm to improve the accuracy of automatic recognition of basketball goal. The infrared spectrum image acquisition system is used to collect the basketball goal image. After the image is denoised by using the adaptive filtering algorithm, the wavelet analysis method is used to extract the features of basketball goal signal, which are input into the optimized deformable convolution neural network. Through the weighted sum of the values of each sampling point and the corresponding position authority of the block convolution core, the results are output as convolution operation. Combined with the depth feature of the same dimension, the full connection feature of the candidate target area is obtained to realize the basketball goal recognition. The experimental results show the following: the method can effectively identify basketball goals and the recognition error rate is low; the average accuracy of the automatic recognition results of basketball goals is as high as 98.4%; under the influence of different degrees of noise, the method is less affected by noise and has strong anti-interference ability.

show abstract

Section: Feature Extraction Of Basketball Goal Imagementioning

confidence: 99%

Research on Basketball Goal Recognition Based on Image Processing and Improved Algorithm

Hang-sheng

2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…In nature, chaos has been found in various scientific fields such as physics, chemistry, biology, Distributed Processing System geoscience, technical science, social science and so on. Some people think that it is the third major scientific discovery after relativity and quantum theory in the last century [10][11]. In the improvement of chaos synchronization ‚ It is worth mentioning that the synchronization method proposed by and ‚ Their work and the work of controlling chaos have greatly promoted the research of chaos control and synchronization theory ‚ The prelude to the utilization of chaos was opened.…”

Section: Synchronization Methodsmentioning

confidence: 99%

Distributed System Design Based on Image Processing Technology and Resource State Synchronization Method

2021

DPS

View full text Add to dashboard Cite

With the explosive growth of data, the demand for massive data processing is increasingly strong. Unlike the previous way of using supercomputers, many of the current mainstream solutions are handled by distributed systems. The purpose of this paper is to design a distributed system based on image processing technology and resource state synchronization method. In the experiment, in order to verify that automatic adjustment of CMOS offset is better than manual adjustment, the synchronous method calculation and image processing technology are used to test different ribbon fiber splicing machines.

show abstract

Recognition of Objects Contained in Image Format P&IDs Using Deep Learning and Image Processing Techniques

Cited by 2 publications

References 0 publications

Research on Basketball Goal Recognition Based on Image Processing and Improved Algorithm

Research on Basketball Goal Recognition Based on Image Processing and Improved Algorithm

Distributed System Design Based on Image Processing Technology and Resource State Synchronization Method

Contact Info

Product

Resources

About