Image segmentation of banknotes numbers based on improved K-means clustering algorithm
Jin Jiaxi · Journal of University of Science and Technology Liaoning · 2014
To overcome the limitations of traditional image segmentation method,a new method based on HSI colour space and improved K-means clustering algorithm is proposed. In HSI space,the colour image is decomposed into three independent components. By using the features and histograms of these components,the clustering centres and categories are obtained. Then the clustering is implemented in high saturation area and low saturation area respectively,after the results are combined and mixed,the object area will be extracted.As an exam,the provided method is used to extract the banknotes numbers,the results show that the method is effective and not influenced by noise and edge change,it provides a good foundation for the accurate identification of banknotes numbers.