A Cloud-Computing Local Histogram Construction Algorithm for Big Image Data

The local histogram is a key feature that the intensity probability of each pixel. As the neighbours of each pixel must be visited, the construction of local histogram in the big image data is time-consuming. In this paper, we propose a new local histogram construction algorithm based on cloud-computing. Through a real-time communication network, the computation cost can be easily shared to construct several local histograms at the same time. The proposed algorithm is not only the fastest solution in the field, but also applicable to various data processing related to probability distribution. Experimental results show that the proposed algorithm has a best performance compared to other related algorithms.