Image pattern recognition in big data: taxonomy and open challenges: survey

2017 ◽  
Vol 77 (8) ◽  
pp. 10091-10121 ◽  
Author(s):  
Saber Zerdoumi ◽  
Aznul Qalid Md Sabri ◽  
Amirrudin Kamsin ◽  
Ibrahim Abaker Targio Hashem ◽  
Abdullah Gani ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Big Data ◽  
Image Pattern

Image Pattern Recognition for an Intelligent Healthcare System: An Application Area of Machine Learning and Big Data

2019 ◽  
Vol 16 (9) ◽  
pp. 3932-3937 ◽  
Author(s):  
Mohit Chhabra ◽  
Rajneesh Kumar Gujral
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Big Data ◽  
Health Sector ◽  
Medical Application ◽  
Medical Data ◽  
Healthcare Sector ◽  
Medical Expert ◽  
Intelligent Healthcare ◽  
Image Pattern

Today healthcare sector is completely distinguished from other industries. It is a highly important area and people wants highest level of care and facilities irrespective of cost. It could not accomplish social prospect even though it consumes vast fraction of budget. Frequently the analyses of medical data were done by the medical expert. In terms of image analysis by different human expert, it is often restricted due to its subjectivity, image complexity, widespread differences occur across different translators, and fatigue. As after the feat of Big Data and machine learning in real world medical application, it is similarly giving exhilarating results with fine precision for medical imaging and is viewed as an important factor for upcoming applications in area of health sector. This paper presents survey of different applications on the Machine Learning and Big Data which relies on image pattern recognition.

scholarly journals A Big Data Based Edge Detection Method for Image Pattern Recognition - A Survey

2018 ◽  
Vol 7 (03) ◽  
pp. 23755-23760
Author(s):  
S. Dhivya ◽  
Dr.R. Shanmugavadivu
Keyword(s):  
Genetic Algorithm ◽  
Pattern Recognition ◽  
Big Data ◽  
Edge Detection ◽  
Research Area ◽  
Detection Methods ◽  
Image Mining ◽  
Survey Paper ◽  
Research Problems ◽  
Image Pattern

In Today’s era Big Data is one of the most well-known research area that try to solve many research problems. The focus is mainly on how to come out those problems of Big Data and it could be handling in recent systems. Image mining and genetic algorithm is used to automate the process of images, patterns, data sets and etc. Image mining is used to extract the hidden images from the set of images. Genetic algorithm is also quite effective in solving certain optimization and intelligence problems and it is used in many applications, including image pattern recognition. The survey paper reviews of Big Data with edge detection methods on various types of images. In edge detection image pattern recognition is to choose the best images from the group of images by using both image mining and genetic algorithm techniques

Pattern Recognition: Evolution, Mining and Big Data

2016 ◽  
pp. 1-36 ◽  
Author(s):  
Amita Pal ◽  
Sankar K. Pal
Keyword(s):  
Pattern Recognition ◽  
Big Data

Implementation of Backpropagation for Ulap-ulap Pattern Recognition

2021 ◽  
Vol 9 (3) ◽  
pp. 405
Author(s):  
Ni Luh Yulia Alami Dewi ◽  
I Wayan Santiyasa
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Data Collection ◽  
Test Data ◽  
Training Data ◽  
Image Pattern

Ulap-ulap is one of the symbols used to indicate that a building has been carried out Mlaspas ceremony. Mlaspas is one of the ceremonies performed to purify and clean a building. Ulap-ulap itself consists of various types depending on the building where it is placed, for example the ulap-ulap placed on the Pelinggih building will be different from the ulap-ulap placed on the Bale building. So that the pattern contained in each type of Ulap-ulap is different. The purpose of this research is to be able to do pattern recognition on Ulap-ulap images. The method used in this study is Backpropagation, and for its implementation, the MATLAB 7.5.0 (R2007b) application is used. This study used 18 images of Ulap-ulap, including 15 training data and 6 test data. The stages of the process carried out are for Ulap-ulap pattern recognition, the first is data collection, then image processing, and finally the pattern recognition. Recognition of the Ulap-ulap image pattern with Backpropagation, resulted in an accuracy of 83.333%.

Image Pattern Recognition

2021 ◽  
pp. 1165-1230
Author(s):  
Yu-Jin Zhang
Keyword(s):  
Pattern Recognition ◽  
Image Pattern
Sign in / Sign up

Export Citation Format

Share Document