微小形状特徴に基づく類似のテクスチャ画像群の合成手法

Abstract

A synthetic method for generating arbitrary number of not the same but similar texture images has been developed. The method includes processes to extract basic shape elements from texture images originating in actual objects, to select them to reappear the image features and to arrange them in an image plane. The authors have already proposed the shape-pass type filter bank assuming that the sensual impression mainly depends on minute shapes existing in the texture images. By use of nine basic shape elements, namely black/white-roof, black/white-line, black/white-snake, black/white-pepper, and cliff, natural texture images originating in actual objects have been characterized by feature vectors in a nine dimensional space. To generate arbitrary number of similar texture images, minute shape pieces are collected from original texture images and arranged so that the feature vectors may become locally similar to the original images. By the method, a number of similar texture images have successfully been generated, and the results of questionnaires on the synthesized texture images to universities students have shown the effectiveness of the method.