Analyzing the Effects of Image Segmentation in Compound Structures
Himanshu Swarnkar, Prafull Naruka Prakriti Trivedi · International Journal of Advanced Research in Computer Science · 2013
Image segmentation is a vital part in today’s technological changes. We proposed an algorithm for deriving the compound structure which consists of primitive image objects. Our algorithm works in two phases. Firstly it produces image regions with homogeneous spectral content using the segmentation process. Secondly the segmentation is translated into relational graph structure .In relational graph structure each node represents the specified region and the edges between them acts as a relation between the regions. The region objects that appear together frequently can be considered as strongly related. Experiments are carried out using an Ikonos image which shows that subgraphs found within the graph representing the whole image correspond to parts of different high-level compound structures. Key words: Compound structure, Image segmentation, object detection, graph-based analysis.