Abstract: Aiming at the limitation of one-dimensional renyi entropy algorithm,the paper proposed a new iterative method in image segmentation based on one-dimensional renyi’s threshold.The method iteratively searches for sub regions of the image for segmentation for processing to get the final segmentation threshold.The process stops when the renyi’s thresholds calculated between two iterations is less than a preset constantand the last threshold calculated is the final threshold that we want.The paper not only gave the segmentation result intuitively but also gave the quantitative result of segmentation using the uniformity measure which is an image segmentation evaluation criteria.The experiment results show that the iterative method not only can get desired segmentation result intuitively but also that the uniformity measure calculated at each iteration is a monotone increasing sequence.And the experiment shows that the proposed method is not sensitive to parameter α.

Key words: Image segmentation,Renyi entropy,Iterative,Uniformity measure