چکیده مقاله
This paper presents a new algorithm for predicting missing parts of images We investigate two laws of one of the well known theories about visual system called Gestalt theories These theories tried to define how a biological neural network can perform Active Learning Method ALM is used as an artificial intelligent approach to realize law of Pragnanz and Closure principle of Gestalt theory ALM is a pattern based algorithm for soft computing which uses the Ink Drop Spread IDS algorithm The present framework learns the patterns in an unsupervised manner or alongside any supervised task according to symmetry and pattern of rest of shape without considering unnecessary details This method inspired by Morphology and used ALM as an iterative process At each iteration the proposed algorithm finds Center of Gravity COG and the accuracy requirement can be achieved based on distances between centers to predict removed segment of image
کلیدواژهها
نویسندگان
Negin Safaei
Artificial Creatures Lab, Sharif University of Technology Tehran, Iran
Saeid Bagheri Shouraki
Department of Electrical Engineering, Sharif University of Technology Tehran, Iran
شیوه ارجاع
Safaei, Negin and Bagheri Shouraki, Saeid,1395,Realization Law of Pragnanz and Closure of gestalt theory using Active Learning Method, International Conference on Engineering and Computer Science,Najafabad
ارائهشده در
مجموعه مقالات کنفرانس بین المللی مهندسی و علوم کامپیوتر3 اسفند 1395 · نجف آباد