A Fast Histogram Estimation Based on the Monte Carlo Method for Image Binarization
作者： Piotr Lech , Krzysztof Okarma , Mateusz Tecław
DOI: 10.1007/978-3-319-01622-1_9
关键词: Balanced histogram thresholding 、 Pattern recognition 、 Histogram 、 Otsu's method 、 Image (mathematics) 、 Mobile robot 、 Monte Carlo method 、 Histogram matching 、 Adaptive histogram equalization 、 Artificial intelligence 、 Computer science
摘要: In the paper idea of fast histogram estimation is proposed which based on application Monte Carlo method. Presented method can be useful for image binarization especially low computational efficiency solutions e.g. autonomous mobile robots. Proposed has been compared with full analysis and obtained estimates have used threshold determination using well-known Otsu
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