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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Color perception and recognition method for Guangdong embroidery image based on discrete mathematical model
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Color perception and recognition method for Guangdong embroidery image based on discrete mathematical model

机译:基于离散数学模型的广东刺绣图像的颜色感知与识别方法

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摘要

The traditional method of Guangdong embroidery image color perception recognition has poor stereoscopic color reduction. Therefore, this paper introduces discrete mathematical model to design a new method of Guangdong embroidery image color perception recognition. Through histogram equalization, the input image with relatively concentrated gray distribution is transformed into the histogram output image with approximately uniform distribution to enhance the dynamic range of pixel gray value. The image of Yuexiu is smoothed and filtered by median filtering method to remove the noise in the image of Yuexiu. The RGB spatial model and HSI spatial model of image color are constructed by normalizing the coordinates and color attributes of pixels. The RGB color space and HSI color space are transformed, and the image color perception recognition model is established to realize the color perception recognition of Guangdong embroidery image. The experimental results show that the pixels of each color in the color pixel image curve of the proposed method are as high as 800, the color pixel image curve distribution is the most intensive, and the color restoration is high.
机译:传统的粤绣图像色彩感知识别方法存在立体色彩还原性差的问题。因此,本文引入离散数学模型,设计了一种新的粤绣图像颜色感知识别方法。通过直方图均衡化,将灰度分布相对集中的输入图像转化为近似均匀分布的直方图输出图像,以增强像素灰度值的动态范围。采用中值滤波方法对越秀图像进行平滑滤波,去除越秀图像中的噪声。通过归一化像素的坐标和颜色属性,建立了图像颜色的RGB空间模型和HSI空间模型。对RGB颜色空间和HSI颜色空间进行变换,建立图像颜色感知识别模型,实现对粤绣图像的颜色感知识别。实验结果表明,该方法的彩色像素图像曲线中每种颜色的像素高达800个,彩色像素图像曲线分布最密集,颜色恢复率高。

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