scholarly journals Dietary Assessment on a Mobile Phone Using Image Processing and Pattern Recognition Techniques: Algorithm Design and System Prototyping

Nutrients ◽  
2015 ◽  
Vol 7 (8) ◽  
pp. 6128-6138 ◽  
Author(s):  
Yasmine Probst ◽  
Duc Nguyen ◽  
Minh Tran ◽  
Wanqing Li
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Mobile Phone ◽  
Dietary Assessment ◽  
Algorithm Design ◽  
Pattern Recognition Techniques

feelabuzz

2011 ◽  
Vol 3 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Christian Leichsenring ◽  
René Tünnermann ◽  
Thomas Hermann
Keyword(s):  
Pattern Recognition ◽  
Mobile Phone ◽  
Large Scale ◽  
User Study ◽  
The Other ◽  
Direct Communication ◽  
Pattern Recognition Techniques

Touch can create a feeling of intimacy and connectedness. This work proposes feelabuzz, a system to transmit movements of one mobile phone to the vibration actuator of another one. This is done in a direct, non-abstract way, without the use of pattern recognition techniques in order not to destroy the feel for the other. The tactile channel enables direct communication, i. e. what another person explicitly signals, as well as implicit context communication, the complex movements any activity consists of or even those that are produced by the environment. This paper explores the potential of this approach, presents the mapping use and discusses further possible development beyond the existing prototype to enable a large-scale user study.

scholarly journals Matching of Iris Pattern using Image Processing

2019 ◽  
Vol 8 (2S11) ◽  
pp. 21-23
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Mobile Phone ◽  
Personal Identification ◽  
The Body ◽  
Biometric Identification ◽  
Non Invasive ◽  
Digital Era ◽  
Invasive Method ◽  
Iris Pattern Recognition

Personal identification is very vital in this digital era for simpler mobile phone unlocking to criminal identification in the scene of crime. There are various methods of personal identification ranging from non-invasive methods of presence of moles in the visible parts of the body to the invasive DNA karyotyping. Other in the spectrum being fingerprinting, lip print, foot print, tongue print, palate print etc. As age advances there might be slight variations in finger print, ear biometric etc, where as in iris the amount of pigmentation might vary but the pattern remains almost same from birth to death, unless otherwise there is any injury to the iris which is very remote. Iris pattern recognition is a non-invasive method of biometric identification. Iris architecture is not only complex but also unique to an individual. In this article a methodology is been proposed to match iris pattern.

Inspection of tire tread defects using image processing and pattern recognition techniques

1993 ◽  
Author(s):  
Penny Chen ◽  
Gary D. Shubinsky ◽  
Kwan-Hwa Jan ◽  
Chien-An Chen ◽  
Oliver Sidla ◽  
...  
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Pattern Recognition Techniques

Automatic Detection of the Cracks on the Concrete Railway Sleepers

2019 ◽  
Vol 33 (09) ◽  
pp. 1955010
Author(s):  
Seyed Amir Hossein Tabatabaei ◽  
Ahmad Delforouzi ◽  
Muhammad Hassan Khan ◽  
Tim Wesener ◽  
Marcin Grzegorzek
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Intelligent Systems ◽  
Crack Detection ◽  
Image Data ◽  
Experimental Comparison ◽  
Pattern Recognition Techniques ◽  
Comparison Results ◽  
Recognition Systems ◽  
Computer Recognition

A vision-based method for detecting the cracks in the concrete sleepers of the railway tracks will be introduced in this paper. The method is able to detect and partially classify the cracks of the concrete sleepers in two successive steps based on the image processing and pattern recognition techniques. The method has been implemented on the acquired image data frames followed by the analysis, experimental, comparison results and evaluation. The presented results are reasonable which indicates the goodness of the introduced method. The preliminary results of this work have been presented in [A. Delforouzi, A. H. Tabatabaei, M. H. Khan and M. Grzegorzek, A vision-based method for automatic crack detection in railway sleepers, in Kurzynski, M., Wozniak, M., Burduk, R. (eds.), Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, Polanica Zdroj, Poland. CORES 2017. Advances in Intelligent Systems and Computing, Vol. 578 (Springer, Cham, 2018), pp. 130–139, doi: 10.1007/978-3-319-59162-9_14].

Pattern-recognition image processing of 3D atom-probe data

1994 ◽  
Vol 52 ◽  
pp. 832-833
Author(s):  
Patrick P. Camus ◽  
David J. Larson ◽  
Thomas F. Kelly
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Lattice Structure ◽  
A Priori ◽  
Three Dimensional ◽  
Empirical Work ◽  
Atom Probe ◽  
Theoretical Description ◽  
Pattern Recognition Techniques ◽  
Near Future

The ultimate three-dimensional atom probe (3DAP) system would have sufficient spatial resolution so that the crystal structure of a material could be determined directly from the atomic positions. Aberrations in the trajectories of ions evaporated from the specimen are the primary limitation on the lateral resolution of AP analysis. In the near future, it does not seem likely that these aberrationsmay be corrected physically because there is no theoretical description and there has been very little empirical work. If the lattice is known a priori, a suggestion was proposed to force the atoms to their nearest lattice sites. This work reports progress that has been made using Fourier transform (FT) and pattern recognition techniques to reconstruct an original lattice structure from simulated 3DAPdata and subsequently to force atoms to pick their nearest lattice point. Usually FT techniques areused in image processing to reduce the image noise, not actually to shift features in the image.

Digital image processing and pattern recognition techniques for the detection of cancer

2009 ◽  
Vol 42 (6) ◽  
pp. 1015-1016 ◽  
Author(s):  
Jinshan Tang ◽  
Raj Rangayyan ◽  
Jianhua Yao ◽  
Yongyi Yang
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Digital Image Processing ◽  
Digital Image ◽  
Pattern Recognition Techniques
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