An Efficient Method for Noisy Cell Image Segmentation Using Generalized α-Entropy
In 1953, a functional extension by A. Rènyi to generalize traditional Shannon’s entropy known as _α_-entropies was proposed. The functionalities of _α_-entropies share the major properties of Shannon’s entropy. Moreover, these entropies can be easily estimated using a kernel estimate. This makes their use by many researchers in computer vision community highly appealing . In this paper, an efficient and ... Read more