关键词: 极光卵, 区域生长, 种子点, 最大类间方差法, 图像分割

Abstract: Auroral oval is very important for the study of magnetic structures and energy storage. This paper proposes a segmentation algorithm of aurora image based on region growing. Firstly, it raises the concept of original image pretreatment according to the characteristics of aurora image. Based on the gray characteristics of pretreatment image, it also needs to select a group of the representative seed points in object region. Secondly, adopting the OTSU and determining the best adaptive segment threshold conveniently based on the features of neighborhoods’ pixels gray, this method replaces the system errors which caused by the traditional region growing method, then determines region-growing stopping conditions by the method of regional difference of gray value. Finally, by using the method of mathematical morphology, it eliminates the voids and discontinuous phenomenon which caused by the noise in the regional growth. Some experimental data and results of image segmentation are presented and proven this algorithm improves the quality of image segmentation.

Key words: auroral oval, region-growing, seed points, optimal segmenting threshold, image segmentation