Narrow Results

In this work, we study the F (R) gravity with f -essence for the flat and homogeneous Friedman-Robertson-Walker universe. For this model, we have presented the point-like Lagrangian and the corresponding field equations. To describe the dynamics of the universe, we have investigated some cosmological solutions for K, F and h functions. It is shown that these solutions describe the late time accelerated expansion of the Universe.

In this paper, an image edge detection algorithm based on FCM clustering and wavelet transform is presented. By this algorithm, we can not only detect the entire edge of original image, but also detect the edge of irregular sub-image that satisfies some characteristics. In the end, we compare it with Prewitt algorithm, Canny algorithm and Laplacia algorithm respectively. Experimental results show that the algorithm proposed in this paper has better performance in image edge detection.