Multi-threshhold segmentation and optimization based on Otsu in color image

As it is of deficiency that the conventional Otsu algorithm is only applicable to single-threshold,the algorithm is extended to multi-threshold color image segmentation.Firstly,the selection of meaningful peak values among a group of maximum values is carried out.Then,according to the peak values,the diagram is divided into a certain number of segmentation intervals,in which the threshold is selected.Based on methodology of morphology,the segmentation is optimized.And the influence,as a result of ignoring the characteristics of space,which the threshold technique imposes on noises,is lessened.The results of the experiment indicate that the Otsu algorithm based on multi-threshold color image segmentation is able to implement automatic and rapid multi-threshold segmentation,and is noise-resistant to some extent.