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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

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.
机译:旨在解决广东刺绣图像的传统色彩感知和识别方法具有较差的色立体恢复能力,基于离散数学模型的广东刺绣图像的颜色感知和识别方法。通过直方图均衡,具有集中灰度分布的输入图像被转换为​​具有近似均匀分布的输出图像,以增强像素的灰度值的动态范围;中值过滤方法用于平滑广东刺绣图像,消除广东刺绣图像中的噪音。通过归一化像素的坐标和颜色属性来构建图像颜色的RGB空间模型和HSI空间模型。使用这两种模型来改变RGB颜色空间和HSI色彩空间,图像颜色感知和识别模型,以实现广东刺绣图像的色彩感知和识别。为了验证该方法的颜色立体声恢复能力,将该方法与广东刺绣图像的色彩感知和识别的传统方法进行比较,这证明了该方法的颜色立体声恢复能力优于传统方法的颜色立体声恢复能力。

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