Improved Two-Dimensional Fisher Criterion Image Segmentation Method and Its Applicatiion

摘要

In order to locate and segment the image of grain bags in the granary reserves, and making full use of the spatial location information of grain bags, a threshold method is proposed base on two-dimensional Fisher criterion. Firstly, a two-dimensional histogram is obtained by the gray value and the local average gray value of the pixels. Then, the two-dimensional Fisher criterion function value is determined from the two-dimensional histogram. When the maximum function value is obtained, the pair of gray values is the threshold which can be the optimal threshold value. Since the traditional two-dimensional Fisher algorithm is always time-consuming in processing image, a novel and efficient algorithm is proposed to reduce the computational complexity by introducing a fast classification program. Experimental results indicate that the two-dimensional Fisher method which can distinguish the various grain bag regions efficiently and reduce the computation time greatly gives a steady performance.