Content-based objects detection for the recognition of building images

This paper deals with content-based objects detection for the recognition of building images. The aim of this research is to develop a robust method by which the building images taken under different imaging conditions like view, illumination and scale can be recognized correctly. In the approach presented in this paper, the regions of objects like windows and wall are first detected from a building image based on their visual contents. Here, the segmentation of regions is done using color information and the regions of windows and wall are detected based on edge information and the location of regions. Then, some features like the proportions of width to height of windows and the invariant color features extracted from the region of wall are extracted for the robust recognition of building images. Finally, experimental results reveal the efficacy of the method proposed in this paper