基于离散数学模型的粤绣图像色彩感知与识别方法

Ya Zhang, Q. Xiong
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引用次数: 7

摘要

针对传统粤绣图像色彩感知识别方法色彩立体还原能力差的问题,提出了一种基于离散数学模型的粤绣图像色彩感知识别方法。通过直方图均衡化,将灰度集中分布的输入图像转化为近似均匀分布的输出图像,增强像素灰度值的动态范围;采用中值滤波方法对粤绣图像进行平滑处理,去除粤绣图像中的噪声。通过对像素的坐标和颜色属性进行归一化,构建图像颜色的RGB空间模型和HSI空间模型。利用这两个模型对RGB色彩空间和HSI色彩空间进行变换,建立图像色彩感知与识别模型,实现粤绣图像的色彩感知与识别。为了验证该方法的色彩立体还原能力,将该方法与传统的粤绣图像色彩感知识别方法进行对比,证明该方法的色彩立体还原能力优于传统方法。
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Color perception and recognition method for Guangdong embroidery image based on discrete mathematical model
Aiming at the problem that the traditional color perception and recognition method for Guangdong embroidery image has poor color stereo restoring ability, a color perception, and recognition method for Guangdong embroidery image based on discrete mathematical model is proposed. Through histogram equalization, the input image with centralized gray distribution is transformed into the output image with approximate uniform distribution to enhance the dynamic range of the gray value of the pixels; the median filtering method is used to smooth the Guangdong embroidery image and remove the noise in the Guangdong embroidery image. The RGB spatial model and HSI spatial model of image color are constructed by normalizing the coordinates and color attributes of pixels. Using these two models to transform RGB color space and HSI color space, image color perception, and recognition model is established to realize color perception and recognition of Guangdong embroidery image. In order to verify the color stereo restoring ability of the method, the method is compared with the traditional method for color perception and recognition of Guangdong embroidery image, which proves that the color stereo restoring ability of the method is better than that of the traditional method.
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