Fuzzy divergence, probability measure of fuzzy events and image thresholding
Pattern Recognition Letters
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A fast scheme for optimal thresholding using genetic algorithms
Signal Processing
Computers & Geosciences - Special issue on system integration within the geosciences
Optimum Image Thresholding via Class Uncertainty and Region Homogeneity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Digital Image Processing
Image thresholding by maximizing the index of nonfuzziness of the 2-D grayscale histogram
Computer Vision and Image Understanding
Fast image thresholding by finding the zero(s) of the first derivative of between-class variance
Machine Vision and Applications
Quantization from Bayes factors with application to multilevel thresholding
Pattern Recognition Letters
A reinforcement agent for threshold fusion
Applied Soft Computing
A learning framework for the optimization and automation of document binarization methods
Computer Vision and Image Understanding
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One of the problems in image processingis finding an appropriate threshold in orderto convert an image to a binary one. In this paperwe introduce a new method for image thresholding.We use reinforcement learning as an effective way tofind the optimal threshold. Q(驴) is implemented as alearning algorithm to achieve more accurate results.The reinforcement agent uses objective rewards toexplore/exploit the solution space. It means thatthere is not any experienced operator involved andthe reward and punishment function must be definedfor the agent. The results show that this methodworks successfully and can be trained for any particularapplication.