基于边缘复杂度的美术绘画图像色彩特征提取方法
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Color Feature Extraction Method of Art Painting Image Based on Edge Complexity
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    摘要:

    为解决传统色彩特征提取方法对美术绘画图像进行特征分析时存在难以支持美术绘画图像的精准分类问题,设计一种基于边缘复杂度的美术绘画图像色彩特征提取方法。提取美术绘画图像的颜色分量,利用颜色矩来表征颜色特征分量,用Sobel算子将边缘延伸方向量化为水平和垂直方向,检测美术绘画图像区域,计算边缘强度确定边缘方向,给出美术绘画图像色彩特征提取流程,并进行实验对比分析。结果表明:与传统方法相比,使用该方法得到的图像色彩特征进行图像分类,美术绘画内容和绘画风格上的分类结果更加精准。

    Abstract:

    In order to solve the problem that the traditional color feature extraction method is difficult to support the accurate classification of art painting images when analyzing the features of art painting images, a color feature extraction method of art painting images based on edge complexity is designed. Color moment is used to represent the color feature component, and Sobel operator is used to quantify the edge extension direction into horizontal and vertical directions. Then the region of the art painting image is detected, and the edge intensity is calculated to determine the edge direction. Finally, the color feature extraction process of the art painting image is given, and the experimental comparison and analysis are carried out. The results show that compared with the traditional method, the color features of the image obtained by this method are used to classify the image, and the classification results of the art painting content and painting style are more accurate.

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封 韵.基于边缘复杂度的美术绘画图像色彩特征提取方法[J].,2025,44(10).

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  • 收稿日期:2024-10-05
  • 最后修改日期:2024-11-10
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  • 在线发布日期: 2025-12-02
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