Morphological Structural Element Optimization for Automatic Line Characterization of Ink Drawings. (11th May 2022)

• Record Type: Journal Article
• Authors: Ma, Caixia
• Other Names: Arif Muhammad Academic Editor.
• Is Part Of: Security and communication networks. Volume 2022(2022)
• Publication Date: 2022-05-11
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2022/8595203
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : As a traditional Chinese art, the tools of Chinese ink painting are mainly brushes, ink, and rice paper and ink stone. As an important form of ink painting, ink landscape painting consists of ink lines that first outline the overall trend of the mountain and then complete the basic process of painting with rich chapping techniques. The article proposes a process to draw water animation based on Chinese painting style; this method first perceives the position of water form in Chinese painting and enhances it by morphological structural elements used to automatically draw the line feature analysis of ink painting; next, the image rendering technique is used to render the water form, firstly using BF for noise removal processing and then gradienting by Canny edge detection operator to get the gradient amplitude. Next, morphological optimization is applied, and finally the image is visualized. In the process of morphological optimization, the optimal parameters of the structural elements are found through the threshold segmentation number, and the rendering algorithm for ink-based landscape painting is explored in depth, starting from the ink lines. The results reveal that the method is more accurate than typical marker-watershed algorithm segmentation, and that changing different structural elements and their parameters has a bigger impact on the ink painting drawing effect.