A Chinese Painting Image Recognition Method Based on Partial Semantic Concept
A technology of image recognition and Chinese painting, applied in the field of image recognition, can solve problems such as deviations in classification results, and achieve the effect of improving accuracy and strong scalability
Inactive Publication Date: 2016-08-17
BEIJING UNION UNIVERSITY
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However, for the image sample library with a large background area, the classification results will be biased.
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[0026] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0027] According to the content of the painting, Chinese painting can be roughly divided into three categories: figure painting, landscape painting and flower, bird and animal painting. Each of these major categories can be divided into different subcategories. For example, figure painting is a painting subject that mainly depicts people. Portrait painting, story painting, genre painting, etc. The present invention is based on the traditional Chinese painting image recognition method of local semantic concept and comprises the following steps:
[0028] 1) if figure 1 As shown, utilize the scanning device to scan several pieces of Chinese painting works to be identified, and store them in the computer. The scanning device can adopt various prior art devices. The scanning device used in this embodiment is an Expression10000XL flatbed scanner, which sa...
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The present invention relates to a kind of Chinese painting image recognition method based on partial semantic concept, comprising the following steps: 1) using a scanning device to collect images of Chinese painting works to be recognized, and storing them in a computer; 2) using a random extractor to extract the collected Chinese paintings Work images are divided into training sample set and test sample set; 3) Extract training sample set and test sample set through the visual attention model respectively in the image of the salient area in the traditional Chinese painting image in the sample set; 4) The Chinese painting image in the training sample set and corresponding 5) According to the bag-of-words model space pyramid model, and generate two corresponding space pyramid feature histograms; 6) adopt the method of serial merging to generate in step 5) Two spatial pyramid feature histograms are fused; 7) Utilize more than one classification method in clustering method, K nearest neighbor method, neural network and support vector machine method to identify the traditional Chinese painting image to be identified in the test sample set, and identify accurately Output recognition results in the form of rate and confusion matrix.
Description
technical field [0001] The invention relates to an image recognition method, in particular to a traditional Chinese painting image recognition method based on local semantic concepts. Background technique [0002] In recent years, semantic-based image classification and annotation technology has become a research hotspot closely related to CBIR (Content-Based Image Retrieval). Performance, and can bridge the "semantic gap" to a certain extent. Different from traditional digital images, the semantic information covered by traditional Chinese paintings is richer and more abstract. If the automatic classification and labeling of Chinese painting images can be realized, it can be widely used in the field of digital calligraphy and painting museums, and become a key technology in major research projects such as digital libraries. [0003] The purpose of image scene classification is to classify the image as a whole into a certain scene category. Most of the existing research w...
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IPC IPC(8): G06K9/62G06K9/60
Inventor 鲍泓冯松鹤张南娄海涛王迪菲潘卫国
Owner BEIJING UNION UNIVERSITY