Development of a deep learning-based image processing technique for bubble pattern recognition and shape reconstruction in dense bubbly flows

2021 ◽  
Vol 230 ◽  
pp. 116163
Author(s):  
Rafael F.L. Cerqueira ◽  
Emilio E. Paladino
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Deep Learning ◽  
Processing Technique ◽  
Shape Reconstruction ◽  
Bubbly Flows ◽  
Image Processing Technique

scholarly journals Deep Learning Image Processing Technique for Early Detection of Alzheimer's Disease

2017 ◽  
Vol 107 ◽  
pp. 85-104
Author(s):  
Raju Anitha ◽  
S. Jyothi ◽  
Venkata Naresh Mandhala ◽  
Debnath Bhattacharyya ◽  
Tai-hoon Kim
Keyword(s):  
Alzheimer’S Disease ◽  
Image Processing ◽  
Alzheimer's Disease ◽  
Deep Learning ◽  
Early Detection ◽  
Processing Technique ◽  
Image Processing Technique

scholarly journals Health Detection of Wheat Crop Using Pattern Recognition and Image Processing

2020 ◽  
Vol 15 (2) ◽  
pp. 50-60 ◽  
Author(s):  
Balwant Ram ◽  
Mamoon Rashid ◽  
Kamlesh Lakhwani ◽  
Shibi S. Kumar
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Human Resources ◽  
Agricultural Sector ◽  
Value Added ◽  
Processing Technique ◽  
Vital Role ◽  
Image Processing Technique ◽  
Wheat Crop ◽  
Recognition Method

Agriculture plays a vital role in India's economy. 44% of the employment in India is engaged in agriculture and allied activities and it also contributes 17% of the gross value added. As most of the country's people are in the agricultural sector and out of them only a few are literate about how to protect their cultivation ultimately gives rise to severe problems like a low economy in the sector and starvation for the nation. The job of this research is to help the farmers to save crops from disease. The authors came with the thought of combining a pattern recognition method and an image processing technique. The system allows a farmer to follow a particular pattern of growing crops so that threats will be analyzed earlier. Combining this with the power of Internet of Things, the authors can automate the process without the need for human resources. This research can ultimately make the agriculture process faster and farmers can cultivate more in a less amount of time.

scholarly journals Pattern Recognition through Dip for Wind Turbine

2020 ◽  
Vol 9 (6) ◽  
pp. 448-450
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Wind Turbine ◽  
Digital Image Processing ◽  
Video Stream ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Test Items ◽  
Digital Image Processing Technique ◽  
Proposed Model

This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.

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