<i>Digital image processing algorithms for a litchi harvesting robot</i>

2017 ◽  
Author(s):  
Xiangjun Zou ◽  
Chenglin Wang ◽  
Hongjun Wang
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Harvesting Robot

Recognition of Topology Feature of Graphene by Image Processing Technique

2013 ◽  
Vol 756-759 ◽  
pp. 4133-4137
Author(s):  
Mao Fa Wang ◽  
Ji Lin Feng ◽  
Xiao Ping Zou ◽  
Xiao Li Li ◽  
Pan Li ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technique ◽  
Image Processing Technique ◽  
In Situ Tem ◽  
Chiral Vector ◽  
Characteristic Values ◽  
Image Processing Algorithms ◽  
Processing Algorithms

In order to extract characteristic values of graphene, a method based on a series of digital image processing algorithms was proposed in this paper. Using the method, we can automatically analyze topology structure and calculate amount of carbon atoms, and even calculate chiral vector indices (n, m) during in-situ TEM scanning of graphene. At last, we also write the correlative software with c++, which applying the digital image processing algorithms, and give out the processing result of several classic TEM image of graphene.

scholarly journals Plataforma para apoio a modelagem de próteses com base em Processamento Digital de Imagens e Deep Learning

2021 ◽  
Author(s):  
Bianka Tallita Passos ◽  
Moira Cristina Cubas Fatiga Tillmann ◽  
Anita Maria da Rocha Fernandes
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
High Resolution ◽  
Image Classification ◽  
Digital Image Processing ◽  
Medical Practice ◽  
Digital Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Specific Label

Medical practice in general, and dentistry in particular, generatesdata sources, such as high-resolution medical images and electronicmedical records. Digital image processing algorithms takeadvantage of the datasets, enabling the development of dental applicationssuch as tooth, caries, crown, prosthetic, dental implant, andendodontic treatment detection, as well as image classification. Thegoal of image classification is to comprehend it as a whole and classifythe image by assigning it to a specific label. This work presentsthe proposal of a tool that helps the dental prosthesis specialist toexchange information with the laboratory. The proposed solutionuses deep learning to classify image, in order to improve the understandingof the structure required for modeling the prosthesis. Theimage database used has a total of 1215 images. Of these, 60 wereseparated for testing. The prototype achieved 98.33% accuracy.

Quantum digital image processing algorithms based on quantum measurement

Optik ◽  
2013 ◽  
Vol 124 (23) ◽  
pp. 6386-6390 ◽  
Author(s):  
Suzhen Yuan ◽  
Xia Mao ◽  
Lijiang Chen ◽  
Yuli Xue
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Quantum Measurement ◽  
Digital Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms
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