Abstract:

It influences the microscopic image segmentation results that traditional fuzzy Cmeans (FCM) ignores the spatial intensity variations caused by uneven illumination, so a novel FCM based microscopic image segmentation algorithm with illumination robustness is proposed, which models the uneven illumination as a linear combination of a set of orthogonal basis functions. Meanwhile, the energy function in FCM is modified by means of the proposed model to support image fuzzy segmentation. The algorithm can alleviate the impact of uneven illumination on segmentation effect and estimate the uneven illumination fields simultaneously. The experimental results show that the algorithm is high efficient.

Key words: image segmentation;FCM;uneven illumination;microscopic image