The objective of the present paper is to obtain an accurate classification of the textures, which did not introduce undesired merging and to develop a quick, effective and novel algorithm that should be easy to understand and implement. For this the present study advocates a new statistical method based on edge direction movement for classification of textures on the opening of the image. An ed...

Abstract The selection of an analogical source is a critical step in the design-by-analogy process. Previous researchers have explored reasons and preferences individual designers or design teams selecting sources. Non-designers, who instead more knowledge other fields, may offer new possibilities for retrieving novel This study focuses on differences sources between collaborative composed nond...

In this paper, we use multiwavelet transforms to perform texture classification on twelve Brodatz textures. To increase the correct classification rate, feature selection is considered. Here we use the coevolutionary algorithm rather than the genetic algorithm (GA) which is widely used in many researches to accomplish the training phase of feature selection. In the classification phase, the mea...

A method of rotation invariant texture classification based on spatial frequency model is developed. Features are derived from the multichannel Gabor filtering method. The classification performance is first tested on a set 1440 samples of 15 Brodatz textures rotated in 12 directions (0 to 165 in steps of 15 degrees). For the 13-class problem reported in [13] we got better classification with o...