Image Segmentation of Drosophila´s Compound Eyes via Two-Dimensional OTSU Thresholding on the Basis of AGA

Image segmentation is a key step in the process of realizing automatic diagnosis of the drosophila´s pathologic compound eyes. This article uses the chromatic aberration variable Cr, extracted from the color images of drosophila´s compound eyes, to establish a two-dimensional histogram, with which and according to the principle of OTSU thresholding segmentation, image segmentation of the drosophila´s compound eyes has been realized. Based on massive computing of the two-dimensional OTSU thresholding, the Adaptive Genetic Algorithm (AGA), including robustness and parallelity, is then used to search for the best non-linear vector of two-dimensional threshold. A number of experiments are made and the application result proves that the two-dimensional OTSU thresholding method proposed in this paper takes a good effect.