Chinese painting & calligraphy color layering analysis method based on machine learning
A machine learning, hierarchical analysis technology, applied in the field of pattern analysis, can solve problems such as unmanned
Inactive Publication Date: 2009-10-14
BEIJING UNION UNIVERSITY
View PDF0 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] At present, the research in the field of digital images of Chinese calligraphy and painting mainly focuses on the color restoration of Chinese calligraphy and painting, the analysis of the layout and composition of landscape paintings, and the classification of calligraphy and painting. set foot in
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0064] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0065] At present, in the field of digital image processing of calligraphy and painting, the relevant research methods and ideas in the field of natural image processing are mainly used. For the extraction of feature descriptors of digital images of Chinese calligraphy and painting, at present, it mainly focuses on the global feature description of the image, but lacks the visual feature description information at the granular level of homogeneous regions. However, due to the similarities in painting techniques, composition, and color use of Chinese calligraphy and painting, as well as the inheritance of cultural history, the application of global features is limited to a certain extent. From the perspective of human visual perception analysis, regional-level description information can better distinguish the main body of Chinese calligraphy and paint...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a Chinese painting & calligraphy color layering analysis method based on machine learning. The method is characterized by: conducting color classification of pixel level on image samples of the same type and establishing a group of prior knowledge about color sets; using the prior knowledge to conduct layering based on the color sets on images; chromatographing the semantic information contained in the images on all the color layers by taking all image regions as carriers; realizing the segmented extraction of all factors of the images, and the steps include: 1) obtaining the color prior knowledge of digital images; 2) using a machine learning method to establish an original color description model of color layering; 3) obtaining a color description model by feedback learning of the original color description model; and 4) using the color description model to conduct color layering on the input painting and calligraphy digital images. The method lays a foundation for realizing the segmented extraction of factors of Chinese painting and calligraphy works such as skill and technique, classification, compositional sketch, themes, even artistic conception and other intermediate and high level semantics.
Description
technical field [0001] The invention relates to the field of pattern analysis, in particular to a method for layered analysis of Chinese calligraphy and painting colors based on machine learning. Background technique [0002] Chinese calligraphy and painting works are an important part of Chinese culture, with a unique form of artistic creation, forming a system of its own in the field of world art, and becoming a school of its own. Since the 1990s, with the rapid development of computer technology and image processing technology, digital images of Chinese calligraphy and painting works have been widely used, so the processing and use of digital images of Chinese calligraphy and painting works has received more and more attention. [0003] At present, the research on images is mainly concentrated in the field of natural images, and the technology is relatively mature. Its main research areas include annotation and classification based on image semantics, image segmentation,...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06N1/00G06N99/00
Inventor 娄海涛胡正坤鲍泓王迪菲王真真张南
Owner BEIJING UNION UNIVERSITY