Online contour extraction and texture analysis - A IoT based case study

We put forward a method of drawing effect analysis in drawing simulation education on the basis of the combination of contour extraction and texture elements in order to improve the effectiveness of drawing effect analysis algorithm in painting simulation education. The multi-scale representation of the image is created by iterative bilateral scale space decomposition, and then the local texture features are extracted by image spots and random projection to make random texture features. The occurrence probability based on texture primitives in the image region can be obtained in the texture appearance model of a region based on the global texture appearance model. Finally, we put forward a random region merging algorithm based on texture features of complex regions and it realizes the analysis of painting effect in painting simulation education based on regional texture appearance model. (C) 2018 Elsevier B.V. All rights reserved.