Open AccessA Big Data Based Edge Detection Method for Image Pattern Recognition - A Survey
Author(s) -
S. Dhivya,
Dr.R. Shanmugavadivu
Publication year - 2018
Publication title -
international journal of engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2319-7242
DOI - 10.18535/ijecs/v7i3.17
Subject(s) - computer science , artificial intelligence , big data , image (mathematics) , enhanced data rates for gsm evolution , process (computing) , pattern recognition (psychology) , genetic algorithm , edge detection , set (abstract data type) , data set , data mining , image processing , computer vision , machine learning , programming language , operating system
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