Methods and apparatuses for identifying regions of similar texture in an image

Abstract

Methods and apparatuses are disclosed for identifying regions of similar texture in an image. The areas of similar texture include areas conventionally thought of as similar texture regions as well as areas of more varied texture that are treated as regions of similar texture in order to identify them within an image. The method associates frequency characteristics of an image with a spatial position within the image by: applying a frequency analysis on sub-regions of the image, thereby, generating frequency characteristics representative of the sub-regions: and associating the frequency characteristics with the origin of the sub-regions. An embodiment disclosed applies a fast Fourier transform on sub-regions in a given direction to determine a dominant frequency of the sub-region and the power of the dominant frequency, both of which are associated with the respective sub-region by storing the dominant frequency and power in a frequency image and power image, respectively, at the position of the origin. Thereafter, the frequency image and the power image are segmented to generate binary images containing regions having similar frequencies and powers, respectively. The binary images are then logically anded together to further refine the regions possessing similar frequency, and thereby finding regions having similar texture in an image.