Modeling of mono-feature texture images using the structuring element of morphology filters

When a texture is considered as a set of granular components of various sizes and shapes, it is meaningful to determine its features in the spatial domain. It is known that such granular features in the spatial domain can be calculated by means of the pattern spectrum obtained by morphology operations. The pattern spectrum has the property that a peak exists at the point where the structuring element of the morphology filter agrees with the granular feature composing the texture. Utilizing this property, this paper proposes a method by which the features of the granules (shape and size) composing the texture are represented by a structuring element on the basis of pattern spectrum information. The proposed method restricts the textures to be analyzed to textures composed of granules of a single shape and size. A method of using the obtained model to decide whether the given texture can be analyzed is presented. With this approach, it is possible to decide whether or not the derived model represents the texture feature. (C) 2004 Wiley Periodicals, Inc.