An Adaptive Multi Threshold Image-Segmentation Algorithm

This paper presents a new adaptive multi-threshold segmentation algorithm.Firstly,the 1-D graylevel histogram of the image is fitted by potential base function and the classification number is then determined by clustering;secondly,the multi segmentation thresholds are obtained based on the graylevel co-occurrence matrix.Both theoretical analysis and simulation results indicate that the performance of this new adaptive multi threshold segmentation algorithm is superior to that of the conventional threshold segmentation algorithms.