A New Image Clustering Method Based on the Fuzzy Harmony Search Algorithm and Fourier Transform

Abstract

In the conventional clustering algorithms, an object could be assigned to only one group. However, this is sometimes not the case in reality, there are cases where the data do not belong to one group. As against, the fuzzy clustering takes into consideration the degree of fuzzy membership of each pixel relative to different classes. In order to overcome some shortcoming with traditional clustering methods, such as slow convergence and their sensitivity to initialization values, we have used the Harmony Search algorithm. It is based on the population metaheuristic algorithm, imitating the musical improvisation process. The major thrust of this algorithm lies in its ability to integrate the key components of population-based methods and local search-based methods in a simple optimization model. We propose in this paper a new unsupervised clustering method called the Fuzzy Harmony Search-Fourier Transform (FHS-FT). It is based on hybridization fuzzy clustering and the harmony search algorithm to increase its exploitation process and to further improve the generated solution, while the Fourier transform to increase the size of the image's data. The results show that the proposed method is able to provide viable solutions as compared to previous work.

Advances in Multimedia Computing and Security and the Introduction of New Senior Editors

“…It introduces as a new image clustering method [1], community model for Smart TV [2], eigenspaces for extracting features from facial images [3], an interactive authoring tool for mobile augmented reality (AR) content [4], an image deblocking scheme for JPEG compressed images [5], an image-centric integrated data model of medical information by diseases [6], the sparsification of digital images [7], treatment planning in smart medical technology [8], the detection of Korean vehicle license plates [9], and the acceleration of group fusion on multi-cores [10]. This issue also includes advanced security research [11,12] on multimedia security, a novel DWT-SVD canny-based watermarking [13], and a blind color images watermarking [14].…”