Structure feature based on Chinese painting and calligraphy seal image automatic extracting method

A technology for automatic extraction of structural features, applied in image analysis, image data processing, special data processing applications, etc., can solve the problems of difficult to achieve automatic extraction of seal images, difficult to determine, and complex changes in the background of the seal position and background.

Inactive Publication Date: 2009-09-16
BEIJING UNION UNIVERSITY
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Problems solved by technology

In addition, calligraphy and painting works are often stamped with one or more seals of collectors, and the position and background of the seals ar

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  • Structure feature based on Chinese painting and calligraphy seal image automatic extracting method
  • Structure feature based on Chinese painting and calligraphy seal image automatic extracting method
  • Structure feature based on Chinese painting and calligraphy seal image automatic extracting method

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Embodiment Construction

[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0053] Although it is very difficult to extract seal images from digital images of Chinese calligraphy and painting, there are still certain rules to follow in the external contours and internal structural features of seal images. The outer outline of the stamp image is mainly reflected on the sidebar of the stamp image. Sidebars are divided into rectangular, circular, elliptical and shaped. According to the statistical analysis of 3191 seal images of 172 calligraphers and painters from the Song Dynasty to the Qing Dynasty, the external contour features of the seal images are mostly rectangles, circles and ellipses, of which 93.77% are rectangles, and 5.14% are circles and ellipses. %, but the sizes and specifications of the seal images are different, and the general seal images are not very complete.

[0054] In addition to the above-mentioned exte...

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Abstract

The invention relates to a structure feature based on Chinese painting and calligraphy seal image automatic extracting method, comprising the steps as follows: 1) chromatography of an input image; 2) image segmentation based on the connected region; 3) image region filtration based on the seal structure feature; and 4) seal image extraction in the input image. In the method, Chinese painting and calligraphy chromatography analysis model based on machine learning is adopted to realize the image segmentation of painting and calligraphy works based on granularity level of the homogeneous region of the color layers. On this basis, a painting and calligraphy seal image extracting method based on seal outline template and internal structure complexity is provided, thereby realizing a content-based Chinese painting and calligraphy image retrieval and semantic annotation system with the seal image as the key information so as to lay a foundation for the retrieval, appraisement, classification and the like of the Chinese painting and calligraphy works.

Description

technical field [0001] The invention relates to the field of image extraction, in particular to a method for automatically extracting images of Chinese calligraphy and painting seals based on structural features. Background technique [0002] Chinese calligraphy and painting works are an important part of Chinese art and culture. Among them, the seal, as one of the "four musts" of Chinese painting and calligraphy ("four musts" means poetry, calligraphy, painting, and seal), has become an inseparable and important part of literati calligraphy and painting works. It contains a large amount of high-level semantic information related to the author. Of considerable artistic and cultural value. [0003] Since the 1990s, with the rapid development of computer technology and image processing technology, CBIR (Content Based Image Retrieval) technology has been widely used in the field of digital image retrieval. CBIR is one of the main technologies in image retrieval. It uses the l...

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Application Information

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IPC IPC(8): G06T7/40G06F17/30G06T7/11G06T7/13G06T7/90
Inventor 娄海涛胡正坤鲍泓张南王迪菲王真真
Owner BEIJING UNION UNIVERSITY
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