Automatic Analysis of High-Resolution G Bands of Triticum Monococcum Chromosomes Based on the MBNN

Abstract

A method based on the model based neural network (MBNN) is proposed to automatically analyze highresolution G bands of Triticum monococcum chromosomes. The MBNN-3P is employed to segmented the G-band images. Then five features of chromosomes are extracted from the segmented images. At last, the features are input into the MBNN for classification. The results indicate that the method provides a significant way for the automatic analysis of high-resolution G bands of plant chromosomes accurately.